Split (1)

train · 14.7k rows

premise string	hypothesis string	label int64
\| Time-scalefactor \| TD-PSOLA \| LP-PSOLA \| WSOLA \| SOLAFS \| ESOLA \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| 0.5 \| 74.16 \| 74.15 \| 1.83 \| 1.73 \| 0.65 \| \| 0.75 \| 74.25 \| 74.19 \| 3.22 \| 2.58 \| 0.66 \|	\| 1.25 \| 74.32 \| 74.30 \| 2.71 \| 4.30 \| 0.69 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| 1.5 \| 74.38 \| 74.35 \| 2.37 \| 5.13 \| 0.70 \| \| 2 \| 74.41 \| 74.45 \| 4.59 \| 6.89 \| 0.91 \|	1
\| Time-scalefactor \| TD-PSOLA \| LP-PSOLA \| WSOLA \| SOLAFS \| ESOLA \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| 0.5 \| 74.16 \| 74.15 \| 1.83 \| 1.73 \| 0.65 \| \| 0.75 \| 74.25 \| 74.19 \| 3.22 \| 2.58 \| 0.66 \|	\| Comp. \| Parts \| AP \| Time \| \| --- \| --- \| --- \| --- \| \| 1 \| 0 \| 52.3 \| 2.27 \| \| 1 \| 4 \| 63.2 \| 3.48 \| \| 1 \| 8 \| 64.2 \| 4.84 \| \| 3 \| 0 \| 62.9 \| 6.48 \| \| 3 \| 4 \| 66.7 \| 12.20 \| \| 3 \| 8 \| 68.4 \| 16.47 \| \| 5 \| 0 \| 64.8 \| 10.25 \| \| 5 \| 4 \| 67.3 \| 16.33 \| \| 5 \| 8 \| 68.7 \| 22.07 \| \| 6 \| 0 \| 65.2 \| 10.48 \| \| 8 \| 0 \| 66.0 \| 11.17 \|	0
\| Time-scalefactor \| TD-PSOLA \| LP-PSOLA \| WSOLA \| SOLAFS \| ESOLA \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| 0.5 \| 74.16 \| 74.15 \| 1.83 \| 1.73 \| 0.65 \|	\| 0.75 \| 74.25 \| 74.19 \| 3.22 \| 2.58 \| 0.66 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| 1.25 \| 74.32 \| 74.30 \| 2.71 \| 4.30 \| 0.69 \| \| 1.5 \| 74.38 \| 74.35 \| 2.37 \| 5.13 \| 0.70 \| \| 2 \| 74.41 \| 74.45 \| 4.59 \| 6.89 \| 0.91 \|	1
\| Time-scalefactor \| TD-PSOLA \| LP-PSOLA \| WSOLA \| SOLAFS \| ESOLA \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| 0.5 \| 74.16 \| 74.15 \| 1.83 \| 1.73 \| 0.65 \|	\| 5 \| 4 \| 67.3 \| 16.33 \| \| --- \| --- \| --- \| --- \| \| 5 \| 8 \| 68.7 \| 22.07 \| \| 6 \| 0 \| 65.2 \| 10.48 \| \| 8 \| 0 \| 66.0 \| 11.17 \|	0
\| N-genusoff \| Numberoff \| \| --- \| --- \| \| 1 \| 8 \|	\| 2 \| 1736 \| \| --- \| --- \| \| 3 \| 30240 \| \| 4 \| 109200 \| \| 5 \| 100800 \| \| 6 \| 15420 \|	1
\| N-genusoff \| Numberoff \| \| --- \| --- \| \| 1 \| 8 \|	\| n \| SizeofAn \| n \| SizeofAn \| \| --- \| --- \| --- \| --- \| \| 0 \| 16 \| 8 \| 3463008 \| \| 1 \| 240 \| 9 \| 2835240 \| \| 2 \| 1840 \| 10 \| 1337520 \| \| 3 \| 17776 \| 11 \| 855576 \| \| 4 \| 74952 \| 12 \| 170592 \| \| 5 \| 223992 \| 13 \| 72216 \| \| 6 \| 360540 \| 14 \| 42456 \| \| 7 \| 1110864 \| 15 \| 23424 \|	0
\| N-genusoff \| Numberoff \| \| --- \| --- \| \| 1 \| 8 \| \| 2 \| 1736 \|	\| 3 \| 30240 \| \| --- \| --- \| \| 4 \| 109200 \| \| 5 \| 100800 \| \| 6 \| 15420 \|	1
\| N-genusoff \| Numberoff \| \| --- \| --- \| \| 1 \| 8 \| \| 2 \| 1736 \|	\| 4 \| 74952 \| 12 \| 170592 \| \| --- \| --- \| --- \| --- \| \| 5 \| 223992 \| 13 \| 72216 \| \| 6 \| 360540 \| 14 \| 42456 \| \| 7 \| 1110864 \| 15 \| 23424 \|	0
\| \| \| TestSearchTechnique \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| \| \| GA \| Random \| \| \| \| \| Cmplx \| Stmt \| Mean \| Stdev \| Mean \| Stdev \| ActualCL \| \| Low \| 75 \| 95.87 \| 12.13 \| 93.87 \| 13.95 \| 44.42 \|	\| Medium \| 150 \| 96.12 \| 8.74 \| 94.73 \| 8.98 \| 45.41 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| High \| 300 \| 95.39 \| 5.63 \| 94.13 \| 6.16 \| 58.84 \|	1
\| \| \| TestSearchTechnique \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| \| \| GA \| Random \| \| \| \| \| Cmplx \| Stmt \| Mean \| Stdev \| Mean \| Stdev \| ActualCL \| \| Low \| 75 \| 95.87 \| 12.13 \| 93.87 \| 13.95 \| 44.42 \|	\| \| \| TestSearchTechnique \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| \| \| GA \| Random \| \| \| \| \| Cmplx \| Branch \| Mean \| Stdev \| Mean \| Stdev \| ActualCL \| \| Low \| 25 \| 87.27 \| 6.98 \| 82.4 \| 7.62 \| 98.76 \| \| Medium \| 50 \| 79.33 \| 6.99 \| 75 \| 5.82 \| 98.84 \| \| High \| 100 \| 76.57 \| 8.25 \| 73 \| 5.76 \| 94.32 \|	0
\| \| \| TestSearchTechnique \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| \| \| GA \| Random \| \| \| \| \| Cmplx \| Stmt \| Mean \| Stdev \| Mean \| Stdev \| ActualCL \|	\| Low \| 75 \| 95.87 \| 12.13 \| 93.87 \| 13.95 \| 44.42 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Medium \| 150 \| 96.12 \| 8.74 \| 94.73 \| 8.98 \| 45.41 \| \| High \| 300 \| 95.39 \| 5.63 \| 94.13 \| 6.16 \| 58.84 \|	1
\| \| \| TestSearchTechnique \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| \| \| GA \| Random \| \| \| \| \| Cmplx \| Stmt \| Mean \| Stdev \| Mean \| Stdev \| ActualCL \|	\| Low \| 25 \| 87.27 \| 6.98 \| 82.4 \| 7.62 \| 98.76 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Medium \| 50 \| 79.33 \| 6.99 \| 75 \| 5.82 \| 98.84 \| \| High \| 100 \| 76.57 \| 8.25 \| 73 \| 5.76 \| 94.32 \|	0
\| Method \| top-1 \| top-5 \| top-10 \| \| --- \| --- \| --- \| --- \| \| Ours-cls \| 75.90 \| 94.55 \| 97.85 \| \| Ours-L2 \| 74.70 \| 93.52 \| 96.45 \| \| Ours-L3 \| 76.55 \| 93.70 \| 96.85 \|	\| Ours-L4 \| 79.15 \| 94.45 \| 97.80 \| \| --- \| --- \| --- \| --- \| \| Ours-(L2,L3) \| 79.45 \| 94.70 \| 97.90 \| \| Ours-(L2,L3,L4) \| 86.45 \| 97.50 \| 99.10 \|	1
\| Method \| top-1 \| top-5 \| top-10 \| \| --- \| --- \| --- \| --- \| \| Ours-cls \| 75.90 \| 94.55 \| 97.85 \| \| Ours-L2 \| 74.70 \| 93.52 \| 96.45 \| \| Ours-L3 \| 76.55 \| 93.70 \| 96.85 \|	\| Method \| h=4 \| h=5 \| h=6 \| h=7 \| \| --- \| --- \| --- \| --- \| --- \| \| HierarchyCompletion \| \| \| \| \| \| Fu2014 \| 0.66 \| 0.42 \| 0.26 \| 0.21 \| \| Ours(L) \| 0.70 \| 0.49 \| 0.45 \| 0.37 \| \| Ours(LV) \| 0.73 \| 0.51 \| 0.50 \| 0.42 \| \| HierarchyConstruction \| \| \| \| \| \| Fu2014 \| 0.53 \| 0.33 \| 0.28 \| 0.18 \| \| Bansal2014 \| 0.67 \| 0.53 \| 0.43 \| 0.37 \| \| Ours(L) \| 0.58 \| 0.41 \| 0.36 \| 0.30 \| \| Ours(LB) \| 0.68 \| 0.55 \| 0.45 \| 0.40 \| \| Ours(LV) \| 0.66 \| 0.52 \| 0.42 \| 0.34 \| \| Ours(LVB-E) \| 0.68 \| 0.55 \| 0.44 \| 0.39 \| \| Ours(LVB) \| 0.70 \| 0.57 \| 0.49 \| 0.43 \|	0
\| Method \| top-1 \| top-5 \| top-10 \| \| --- \| --- \| --- \| --- \| \| Ours-cls \| 75.90 \| 94.55 \| 97.85 \| \| Ours-L2 \| 74.70 \| 93.52 \| 96.45 \| \| Ours-L3 \| 76.55 \| 93.70 \| 96.85 \| \| Ours-L4 \| 79.15 \| 94.45 \| 97.80 \|	\| Ours-(L2,L3) \| 79.45 \| 94.70 \| 97.90 \| \| --- \| --- \| --- \| --- \| \| Ours-(L2,L3,L4) \| 86.45 \| 97.50 \| 99.10 \|	1
\| Method \| top-1 \| top-5 \| top-10 \| \| --- \| --- \| --- \| --- \| \| Ours-cls \| 75.90 \| 94.55 \| 97.85 \| \| Ours-L2 \| 74.70 \| 93.52 \| 96.45 \| \| Ours-L3 \| 76.55 \| 93.70 \| 96.85 \| \| Ours-L4 \| 79.15 \| 94.45 \| 97.80 \|	\| Bansal2014 \| 0.67 \| 0.53 \| 0.43 \| 0.37 \| \| --- \| --- \| --- \| --- \| --- \| \| Ours(L) \| 0.58 \| 0.41 \| 0.36 \| 0.30 \| \| Ours(LB) \| 0.68 \| 0.55 \| 0.45 \| 0.40 \| \| Ours(LV) \| 0.66 \| 0.52 \| 0.42 \| 0.34 \| \| Ours(LVB-E) \| 0.68 \| 0.55 \| 0.44 \| 0.39 \| \| Ours(LVB) \| 0.70 \| 0.57 \| 0.49 \| 0.43 \|	0
\| Distance(m) \| Time(sec) \| \| --- \| --- \| \| 0.0 \| 0 \| \| 4.9 \| 1 \| \| 19.6 \| 2 \| \| 44.1 \| 3 \| \| 78.5 \| 4 \| \| 122.6 \| 5 \| \| 176.5 \| 6 \| \| 240.3 \| 7 \| \| 313.8 \| 8 \| \| 397.2 \| 9 \| \| 490.3 \| 10 \| \| 593.3 \| 11 \| \| 706.1 \| 12 \| \| 828.7 \| 13 \| \| 961.1 \| 14 \| \| 1103.2 \| 15 \|	\| 1255.3 \| 16 \| \| --- \| --- \| \| Etc \| Etc \|	1
\| Distance(m) \| Time(sec) \| \| --- \| --- \| \| 0.0 \| 0 \| \| 4.9 \| 1 \| \| 19.6 \| 2 \| \| 44.1 \| 3 \| \| 78.5 \| 4 \| \| 122.6 \| 5 \| \| 176.5 \| 6 \| \| 240.3 \| 7 \| \| 313.8 \| 8 \| \| 397.2 \| 9 \| \| 490.3 \| 10 \| \| 593.3 \| 11 \| \| 706.1 \| 12 \| \| 828.7 \| 13 \| \| 961.1 \| 14 \| \| 1103.2 \| 15 \|	\| M \| RunningTime(sec) \| M \| RunningTime(sec) \| \| --- \| --- \| --- \| --- \| \| 1 \| −2<br>1.10×10 \| 40 \| −1<br>3.74×10 \| \| 2 \| 2.04×10 \| 50 \| 4.61×10 \| \| 4 \| 3.51×10 \| 80 \| 7.46×10 \| \| 5 \| 5.01×10 \| 100 \| 9.32×10 \| \| 8 \| 8.24×10 \| 200 \| 1.81 \| \| 10 \| 9.02×10 \| 250 \| 2.41 \| \| 16 \| 1.60×10 \| 400 \| 3.90 \| \| 20 \| 1.84×10 \| 500 \| 5.14 \| \| 25 \| 2.38×10 \| 1,000 \| 11.31 \|	0
\| Distance(m) \| Time(sec) \| \| --- \| --- \| \| 0.0 \| 0 \| \| 4.9 \| 1 \| \| 19.6 \| 2 \| \| 44.1 \| 3 \| \| 78.5 \| 4 \| \| 122.6 \| 5 \| \| 176.5 \| 6 \| \| 240.3 \| 7 \| \| 313.8 \| 8 \| \| 397.2 \| 9 \| \| 490.3 \| 10 \| \| 593.3 \| 11 \| \| 706.1 \| 12 \|	\| 828.7 \| 13 \| \| --- \| --- \| \| 961.1 \| 14 \| \| 1103.2 \| 15 \| \| 1255.3 \| 16 \| \| Etc \| Etc \|	1
\| Distance(m) \| Time(sec) \| \| --- \| --- \| \| 0.0 \| 0 \| \| 4.9 \| 1 \| \| 19.6 \| 2 \| \| 44.1 \| 3 \| \| 78.5 \| 4 \| \| 122.6 \| 5 \| \| 176.5 \| 6 \| \| 240.3 \| 7 \| \| 313.8 \| 8 \| \| 397.2 \| 9 \| \| 490.3 \| 10 \| \| 593.3 \| 11 \| \| 706.1 \| 12 \|	\| 8 \| 8.24×10 \| 200 \| 1.81 \| \| --- \| --- \| --- \| --- \| \| 10 \| 9.02×10 \| 250 \| 2.41 \| \| 16 \| 1.60×10 \| 400 \| 3.90 \| \| 20 \| 1.84×10 \| 500 \| 5.14 \| \| 25 \| 2.38×10 \| 1,000 \| 11.31 \|	0
\| α \| PerfFTCost \| \| --- \| --- \| \| 2 \| .469.793.034 \| \| 16 \| .479.797.035 \| \| 64 \| .489.822.035 \|	\| 2 \| .471.782.035 \| \| --- \| --- \| \| 16 \| .487.956.042 \| \| 64 \| .548.998.054 \|	1
\| α \| PerfFTCost \| \| --- \| --- \| \| 2 \| .469.793.034 \| \| 16 \| .479.797.035 \| \| 64 \| .489.822.035 \|	\| K \| αd \| αf \| αs \| αo \| αM \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| 2 \| 1.5 \| − \| 1.5 \| − \| 2.8 \| \| 3 \| 4.16 \| − \| 4.55 \| − \| 5.83 \| \| 4 \| 8.4 \| − \| 10.15 \| − \| 11.56 \| \| 5 \| 16.2 \| 20.3 \| 21.26 \| 20.7 \| 22.8 \| \| 6 \| 30.5 \| 38.5 \| 43.41 \| 42.95 \| 45 \| \| 7 \| 57.28 \| 72.1 \| 87.84 \| 87.35 \| 89.42 \| \| 8 \| 107.13 \| 134.2 \| 176.57 \| 176.06 \| 178.1 \|	0
\| α \| PerfFTCost \| \| --- \| --- \| \| 2 \| .469.793.034 \| \| 16 \| .479.797.035 \|	\| 64 \| .489.822.035 \| \| --- \| --- \| \| 2 \| .471.782.035 \| \| 16 \| .487.956.042 \| \| 64 \| .548.998.054 \|	1
\| α \| PerfFTCost \| \| --- \| --- \| \| 2 \| .469.793.034 \| \| 16 \| .479.797.035 \|	\| 6 \| 30.5 \| 38.5 \| 43.41 \| 42.95 \| 45 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| 7 \| 57.28 \| 72.1 \| 87.84 \| 87.35 \| 89.42 \| \| 8 \| 107.13 \| 134.2 \| 176.57 \| 176.06 \| 178.1 \|	0
\| Method \| AVG-<br>AUC \| M-<br>AUC \| SK-<br>AUC \| M-<br>SP82 \| M-<br>SP89 \| M-<br>SP95 \| M-<br>SENS \| M-<br>SPEC \| SK-<br>SENS \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| [24]TopAVG \| 0.911 \| 0.868 \| 0.953 \| 0.729 \| 0.588 \| 0.366 \| 0.735 \| 0.851 \| 0.978 \|	\| [25]TopSK \| 0.910 \| 0.856 \| 0.965 \| 0.727 \| 0.555 \| 0.404 \| 0.103 \| 0.998 \| 0.178 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| [26]TopM \| 0.908 \| 0.874 \| 0.943 \| 0.747 \| 0.590 \| 0.395 \| 0.547 \| 0.950 \| 0.356 \| \| AVGSC \| 0.913 \| 0.872 \| 0.954 \| 0.778 \| 0.605 \| 0.435 \| 0.214 \| 0.988 \| 0.600 \| \| L-SVM \| 0.926 \| 0.892 \| 0.960 \| 0.834 \| 0.692 \| 0.571 \| 0.718 \| 0.901 \| 0.878 \| \| NL-SVM \| 0.904 \| 0.853 \| 0.955 \| 0.801 \| 0.449 \| 0.168 \| 0.675 \| 0.909 \| 0.889 \|	1
\| Method \| AVG-<br>AUC \| M-<br>AUC \| SK-<br>AUC \| M-<br>SP82 \| M-<br>SP89 \| M-<br>SP95 \| M-<br>SENS \| M-<br>SPEC \| SK-<br>SENS \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| [24]TopAVG \| 0.911 \| 0.868 \| 0.953 \| 0.729 \| 0.588 \| 0.366 \| 0.735 \| 0.851 \| 0.978 \|	\| Method \| Top1 \| Top2 \| Top5 \| Top10 \| \| --- \| --- \| --- \| --- \| --- \| \| Tebessa-C* \| 93.1 \| 97.0 \| 99.5 \| 99.5 \| \| Delta-nHinge \| 93.4 \| NA \| NA \| 98.4 \| \| CS-UMD-a* \| 95.1 \| 97.7 \| 98.6 \| 99.1 \| \| MultiFeature* \| 99.2 \| 99.6 \| 99.8 \| 99.8 \| \| SRS-LBPl1out8,4 \| 96.6 \| 98.0 \| 99.6 \| 99.8 \| \| SRS-LBPmetric* \| 96.6 \| 97.8 \| 98.8 \| 99.4 \| \| SRS-LBPl1out \| 98.4 \| 99.2 \| 99.4 \| 99.8 \|	0
\| Method \| AVG-<br>AUC \| M-<br>AUC \| SK-<br>AUC \| M-<br>SP82 \| M-<br>SP89 \| M-<br>SP95 \| M-<br>SENS \| M-<br>SPEC \| SK-<br>SENS \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| [24]TopAVG \| 0.911 \| 0.868 \| 0.953 \| 0.729 \| 0.588 \| 0.366 \| 0.735 \| 0.851 \| 0.978 \|	\| [25]TopSK \| 0.910 \| 0.856 \| 0.965 \| 0.727 \| 0.555 \| 0.404 \| 0.103 \| 0.998 \| 0.178 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| [26]TopM \| 0.908 \| 0.874 \| 0.943 \| 0.747 \| 0.590 \| 0.395 \| 0.547 \| 0.950 \| 0.356 \| \| AVGSC \| 0.913 \| 0.872 \| 0.954 \| 0.778 \| 0.605 \| 0.435 \| 0.214 \| 0.988 \| 0.600 \| \| L-SVM \| 0.926 \| 0.892 \| 0.960 \| 0.834 \| 0.692 \| 0.571 \| 0.718 \| 0.901 \| 0.878 \| \| NL-SVM \| 0.904 \| 0.853 \| 0.955 \| 0.801 \| 0.449 \| 0.168 \| 0.675 \| 0.909 \| 0.889 \|	1
\| Method \| AVG-<br>AUC \| M-<br>AUC \| SK-<br>AUC \| M-<br>SP82 \| M-<br>SP89 \| M-<br>SP95 \| M-<br>SENS \| M-<br>SPEC \| SK-<br>SENS \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| [24]TopAVG \| 0.911 \| 0.868 \| 0.953 \| 0.729 \| 0.588 \| 0.366 \| 0.735 \| 0.851 \| 0.978 \|	\| MultiFeature* \| 99.2 \| 99.6 \| 99.8 \| 99.8 \| \| --- \| --- \| --- \| --- \| --- \| \| SRS-LBPl1out8,4 \| 96.6 \| 98.0 \| 99.6 \| 99.8 \| \| SRS-LBPmetric* \| 96.6 \| 97.8 \| 98.8 \| 99.4 \| \| SRS-LBPl1out \| 98.4 \| 99.2 \| 99.4 \| 99.8 \|	0
\| \| BMCNN-DnCNN \| BMCNN-BM3D \| \| --- \| --- \| --- \| \| Cameraman \| 30.20 \| 30.03 \| \| Lena \| 32.53 \| 32.49 \| \| Barbara \| 30.58 \| 31.23 \| \| Boat \| 30.25 \| 30.16 \| \| Couple \| 30.12 \| 30.02 \| \| Fingerprint \| 28.02 \| 28.06 \| \| Hill \| 30.00 \| 30.05 \| \| House \| 33.32 \| 33.43 \|	\| Jetplane \| 32.17 \| 32.14 \| \| --- \| --- \| --- \| \| Man \| 30.06 \| 29.94 \| \| Montage \| 33.47 \| 33.31 \| \| Peppers \| 30.93 \| 30.78 \| \| Average \| 30.97 \| 30.97 \|	1
\| \| BMCNN-DnCNN \| BMCNN-BM3D \| \| --- \| --- \| --- \| \| Cameraman \| 30.20 \| 30.03 \| \| Lena \| 32.53 \| 32.49 \| \| Barbara \| 30.58 \| 31.23 \| \| Boat \| 30.25 \| 30.16 \| \| Couple \| 30.12 \| 30.02 \| \| Fingerprint \| 28.02 \| 28.06 \| \| Hill \| 30.00 \| 30.05 \| \| House \| 33.32 \| 33.43 \|	\| \| BMCNN \| woBMCNN \| DnCNN \| \| --- \| --- \| --- \| --- \| \| Cameraman \| 30.20 \| 30.08 \| 30.11 \| \| Lena \| 32.53 \| 32.45 \| 32.48 \| \| Barbara \| 30.58 \| 29.91 \| 29.94 \| \| Boat \| 30.25 \| 30.17 \| 30.21 \| \| Couple \| 30.12 \| 30.09 \| 30.10 \| \| Fingerprint \| 28.01 \| 27.61 \| 27.64 \| \| Hill \| 30.00 \| 29.96 \| 29.99 \| \| House \| 33.32 \| 33.20 \| 33.23 \| \| Jetplane \| 32.17 \| 32.02 \| 32.06 \| \| Man \| 30.06 \| 30.04 \| 30.06 \| \| Montage \| 33.47 \| 33.02 \| 32.97 \| \| Peppers \| 30.93 \| 30.81 \| 30.80 \| \| Average \| 30.97 \| 30.78 \| 30.80 \|	0
\| \| BMCNN-DnCNN \| BMCNN-BM3D \| \| --- \| --- \| --- \| \| Cameraman \| 30.20 \| 30.03 \| \| Lena \| 32.53 \| 32.49 \| \| Barbara \| 30.58 \| 31.23 \| \| Boat \| 30.25 \| 30.16 \| \| Couple \| 30.12 \| 30.02 \| \| Fingerprint \| 28.02 \| 28.06 \| \| Hill \| 30.00 \| 30.05 \| \| House \| 33.32 \| 33.43 \|	\| Jetplane \| 32.17 \| 32.14 \| \| --- \| --- \| --- \| \| Man \| 30.06 \| 29.94 \| \| Montage \| 33.47 \| 33.31 \| \| Peppers \| 30.93 \| 30.78 \| \| Average \| 30.97 \| 30.97 \|	1
\| \| BMCNN-DnCNN \| BMCNN-BM3D \| \| --- \| --- \| --- \| \| Cameraman \| 30.20 \| 30.03 \| \| Lena \| 32.53 \| 32.49 \| \| Barbara \| 30.58 \| 31.23 \| \| Boat \| 30.25 \| 30.16 \| \| Couple \| 30.12 \| 30.02 \| \| Fingerprint \| 28.02 \| 28.06 \| \| Hill \| 30.00 \| 30.05 \| \| House \| 33.32 \| 33.43 \|	\| Couple \| 30.12 \| 30.09 \| 30.10 \| \| --- \| --- \| --- \| --- \| \| Fingerprint \| 28.01 \| 27.61 \| 27.64 \| \| Hill \| 30.00 \| 29.96 \| 29.99 \| \| House \| 33.32 \| 33.20 \| 33.23 \| \| Jetplane \| 32.17 \| 32.02 \| 32.06 \| \| Man \| 30.06 \| 30.04 \| 30.06 \| \| Montage \| 33.47 \| 33.02 \| 32.97 \| \| Peppers \| 30.93 \| 30.81 \| 30.80 \| \| Average \| 30.97 \| 30.78 \| 30.80 \|	0
\| Singingvoice \| \| \| \| \| --- \| --- \| --- \| --- \| \| Method \| GNSDR \| GSIR \| GSAR \| \| MLRR<br>DRNN<br>ModGD<br>U-Net \| 3.85<br>7.45<br>7.50<br>7.43 \| 5.63<br>13.08<br>13.73<br>11.79 \| 10.70<br>9.68<br>9.45<br>10.42 \|	\| SH-1stack<br>SH-2stack<br>SH-4stack \| 10.29<br>10.45<br>10.51 \| 15.51<br>15.89<br>16.01 \| 12.46<br>12.49<br>12.53 \| \| --- \| --- \| --- \| --- \| \| Accompaniments \| \| \| \| \| Method \| GNSDR \| GSIR \| GSAR \| \| MLRR<br>U-Net \| 4.19<br>7.45 \| 7.80<br>11.43 \| 8.22<br>10.41 \| \| SH-1stack<br>SH-2stack<br>SH-4stack \| 9.65<br>9.64<br>9.88 \| 13.90<br>13.69<br>14.24 \| 12.27<br>12.39<br>12.36 \|	1
\| Singingvoice \| \| \| \| \| --- \| --- \| --- \| --- \| \| Method \| GNSDR \| GSIR \| GSAR \| \| MLRR<br>DRNN<br>ModGD<br>U-Net \| 3.85<br>7.45<br>7.50<br>7.43 \| 5.63<br>13.08<br>13.73<br>11.79 \| 10.70<br>9.68<br>9.45<br>10.42 \|	\| \| MusicalEnsembleGroup \| NoMusicalEnsembleGroup \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| \| Human-like \| Harmony \| Melody \| Human-like \| Harmony \| Melody \| \| OdetoJoy<br>-Layered<br>HMM \| 3.125 \| 3.250 \| 3.125 \| 3.8 \| 4.0 \| 3.8 \| \| WeThree<br>Kings-<br>Layered<br>HMM \| 3.500 \| 3.125 \| 3.125 \| 2.4 \| 1.8 \| 2.2 \| \| Pachelbel’s<br>Canon-<br>TVAR(11) \| 3.438 \| 3.375 \| 3.063 \| 3.5 \| 3.6 \| 3.2 \|	0
\| Singingvoice \| \| \| \| \| --- \| --- \| --- \| --- \| \| Method \| GNSDR \| GSIR \| GSAR \|	\| MLRR<br>DRNN<br>ModGD<br>U-Net \| 3.85<br>7.45<br>7.50<br>7.43 \| 5.63<br>13.08<br>13.73<br>11.79 \| 10.70<br>9.68<br>9.45<br>10.42 \| \| --- \| --- \| --- \| --- \| \| SH-1stack<br>SH-2stack<br>SH-4stack \| 10.29<br>10.45<br>10.51 \| 15.51<br>15.89<br>16.01 \| 12.46<br>12.49<br>12.53 \| \| Accompaniments \| \| \| \| \| Method \| GNSDR \| GSIR \| GSAR \| \| MLRR<br>U-Net \| 4.19<br>7.45 \| 7.80<br>11.43 \| 8.22<br>10.41 \| \| SH-1stack<br>SH-2stack<br>SH-4stack \| 9.65<br>9.64<br>9.88 \| 13.90<br>13.69<br>14.24 \| 12.27<br>12.39<br>12.36 \|	1
\| Singingvoice \| \| \| \| \| --- \| --- \| --- \| --- \| \| Method \| GNSDR \| GSIR \| GSAR \|	\| OdetoJoy<br>-Layered<br>HMM \| 3.125 \| 3.250 \| 3.125 \| 3.8 \| 4.0 \| 3.8 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| WeThree<br>Kings-<br>Layered<br>HMM \| 3.500 \| 3.125 \| 3.125 \| 2.4 \| 1.8 \| 2.2 \| \| Pachelbel’s<br>Canon-<br>TVAR(11) \| 3.438 \| 3.375 \| 3.063 \| 3.5 \| 3.6 \| 3.2 \|	0
\| (a)Numberofrenderedviews \| \| \| \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| n \| 200 \| 500 \| 1k \| 2k \| 5k \| 10k \| 86k \| \| AP \| 29.8 \| 34.2 \| 35.3 \| 38.7 \| 40.2 \| 42.0 \| 44.0 \| \| (b)NumberofCADmodels \| \| \| \| \| \| \| \|	\| n \| 5 \| 10 \| 20 \| 40 \| 80 \| 160 \| 1393 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| AP \| 17.6 \| 25.0 \| 29.3 \| 32.8 \| 33.8 \| 38.1 \| 44.0 \|	1
\| (a)Numberofrenderedviews \| \| \| \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| n \| 200 \| 500 \| 1k \| 2k \| 5k \| 10k \| 86k \| \| AP \| 29.8 \| 34.2 \| 35.3 \| 38.7 \| 40.2 \| 42.0 \| 44.0 \| \| (b)NumberofCADmodels \| \| \| \| \| \| \| \|	\| (a)Numberofrenderedviews \| \| \| \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| n \| 200 \| 500 \| 1k \| 2k \| 5k \| 10k \| 86k \| \| AP \| 34.0 \| 40.4 \| 43.8 \| 44.3 \| 45.6 \| 46.0 \| 49.7 \| \| (b)NumberofCADmodels \| \| \| \| \| \| \| \| \| n \| 5 \| 10 \| 20 \| 40 \| 80 \| 160 \| 1393 \| \| AP \| 22.2 \| 29.5 \| 33.6 \| 36.4 \| 39.3 \| 44.2 \| 49.7 \|	0
\| (a)Numberofrenderedviews \| \| \| \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| n \| 200 \| 500 \| 1k \| 2k \| 5k \| 10k \| 86k \|	\| AP \| 29.8 \| 34.2 \| 35.3 \| 38.7 \| 40.2 \| 42.0 \| 44.0 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| (b)NumberofCADmodels \| \| \| \| \| \| \| \| \| n \| 5 \| 10 \| 20 \| 40 \| 80 \| 160 \| 1393 \| \| AP \| 17.6 \| 25.0 \| 29.3 \| 32.8 \| 33.8 \| 38.1 \| 44.0 \|	1
\| (a)Numberofrenderedviews \| \| \| \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| n \| 200 \| 500 \| 1k \| 2k \| 5k \| 10k \| 86k \|	\| AP \| 34.0 \| 40.4 \| 43.8 \| 44.3 \| 45.6 \| 46.0 \| 49.7 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| (b)NumberofCADmodels \| \| \| \| \| \| \| \| \| n \| 5 \| 10 \| 20 \| 40 \| 80 \| 160 \| 1393 \| \| AP \| 22.2 \| 29.5 \| 33.6 \| 36.4 \| 39.3 \| 44.2 \| 49.7 \|	0
\| NB \| Na¨ıveBayesModel \| \| --- \| --- \| \| KLD \| SymmetricalKullback-LeiblerDivergenceModel \| \| R \| TokenType:rating,unigramordigram \| \| LR \| LinkabilityRatio \| \| AR \| AnonymousRecord \| \| IR \| IdentiﬁedRecord(correspondingtoacertainreviewer) \| \| SymD(IR,AR)KLD \| symmetricKLDdistancebetweenIRandAR \| \| SymD \| symmetricKLDofratingtokens \| \| SymD \| symmetricKLDofcategorytokens \|	\| SymD \| symmetricKLDoflexical(unigramordigram)tokens \| \| --- \| --- \| \| SymD \| symmetricKLDofratingandcategorytokens \| \| SymD \| symmetricKLDoflexical,ratingandcategorytokens \|	1
\| NB \| Na¨ıveBayesModel \| \| --- \| --- \| \| KLD \| SymmetricalKullback-LeiblerDivergenceModel \| \| R \| TokenType:rating,unigramordigram \| \| LR \| LinkabilityRatio \| \| AR \| AnonymousRecord \| \| IR \| IdentiﬁedRecord(correspondingtoacertainreviewer) \| \| SymD(IR,AR)KLD \| symmetricKLDdistancebetweenIRandAR \| \| SymD \| symmetricKLDofratingtokens \| \| SymD \| symmetricKLDofcategorytokens \|	\| Category \| Numberoftokens \| \| --- \| --- \| \| Avg.tokens \| 22.2 \| \| Avg.entokens \| 2.1 \| \| Avg.hitokens \| 16.1 \| \| Avg.resttokens \| 4.0 \|	0
\| NB \| Na¨ıveBayesModel \| \| --- \| --- \| \| KLD \| SymmetricalKullback-LeiblerDivergenceModel \|	\| R \| TokenType:rating,unigramordigram \| \| --- \| --- \| \| LR \| LinkabilityRatio \| \| AR \| AnonymousRecord \| \| IR \| IdentiﬁedRecord(correspondingtoacertainreviewer) \| \| SymD(IR,AR)KLD \| symmetricKLDdistancebetweenIRandAR \| \| SymD \| symmetricKLDofratingtokens \| \| SymD \| symmetricKLDofcategorytokens \| \| SymD \| symmetricKLDoflexical(unigramordigram)tokens \| \| SymD \| symmetricKLDofratingandcategorytokens \| \| SymD \| symmetricKLDoflexical,ratingandcategorytokens \|	1
\| NB \| Na¨ıveBayesModel \| \| --- \| --- \| \| KLD \| SymmetricalKullback-LeiblerDivergenceModel \|	\| Avg.entokens \| 2.1 \| \| --- \| --- \| \| Avg.hitokens \| 16.1 \| \| Avg.resttokens \| 4.0 \|	0
\| LayerName \| LayerType \| \| --- \| --- \| \| Conv1 \| Conv-ReLU \| \| Conv2 \| Conv-ReLU \| \| Conv3 \| Conv-ReLU \| \| Conv4 \| Conv-ReLU \|	\| Conv5 \| Conv-ReLU \| \| --- \| --- \| \| FC6 \| FC-dropout \| \| FC7 \| FC-dropout \| \| FC8 \| FC-softmax \|	1
\| LayerName \| LayerType \| \| --- \| --- \| \| Conv1 \| Conv-ReLU \| \| Conv2 \| Conv-ReLU \| \| Conv3 \| Conv-ReLU \| \| Conv4 \| Conv-ReLU \|	\| Process \| LayerName \| LayerType \| fpoperationsperimage \| Device \| \| --- \| --- \| --- \| --- \| --- \| \| Forward \| FC6 \| FC-dropout \| 75497472 \| K40-cudnn \| \| FC7 \| FC-dropout \| 33554432 \| K40-cudnn \| \| \| FC8 \| FC-softmax \| 8192000 \| K40-cudnn \| \| \| FC6 \| FC-dropout \| 75497472 \| K40-cublas \| \| \| FC7 \| FC-dropout \| 33554432 \| K40-cublas \| \| \| FC8 \| FC-softmax \| 8192000 \| K40-cublas \| \| \| Backward \| FC6 \| FC-dropout \| 150994944 \| K40-cudnn \| \| FC7 \| FC-dropout \| 67108864 \| K40-cudnn \| \| \| FC8 \| FC-softmax \| 16384000 \| K40-cudnn \| \| \| FC6 \| FC-dropout \| 150994944 \| K40-cublas \| \| \| FC7 \| FC-dropout \| 67108864 \| K40-cublas \| \| \| FC8 \| FC-softmax \| 16384000 \| K40-cublas \| \|	0
\| LayerName \| LayerType \| \| --- \| --- \| \| Conv1 \| Conv-ReLU \| \| Conv2 \| Conv-ReLU \| \| Conv3 \| Conv-ReLU \| \| Conv4 \| Conv-ReLU \| \| Conv5 \| Conv-ReLU \|	\| FC6 \| FC-dropout \| \| --- \| --- \| \| FC7 \| FC-dropout \| \| FC8 \| FC-softmax \|	1
\| LayerName \| LayerType \| \| --- \| --- \| \| Conv1 \| Conv-ReLU \| \| Conv2 \| Conv-ReLU \| \| Conv3 \| Conv-ReLU \| \| Conv4 \| Conv-ReLU \| \| Conv5 \| Conv-ReLU \|	\| Backward \| FC6 \| FC-dropout \| 150994944 \| K40-cudnn \| \| --- \| --- \| --- \| --- \| --- \| \| FC7 \| FC-dropout \| 67108864 \| K40-cudnn \| \| \| FC8 \| FC-softmax \| 16384000 \| K40-cudnn \| \| \| FC6 \| FC-dropout \| 150994944 \| K40-cublas \| \| \| FC7 \| FC-dropout \| 67108864 \| K40-cublas \| \| \| FC8 \| FC-softmax \| 16384000 \| K40-cublas \| \|	0
\| Model \| Token<br>Sim. \| Rouge1 \| Rouge2 \| Rouge<br>-LCS \| BLEU \| Topic<br>Sim. \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Semi-supervised \| \| \| \| \| \| \| \| E-RNN \| 0.21 \| 0.28 \| 0.37 \| 0.28 \| 0.16 \| 0.015 \| \| EC-RNN \| 0.27 \| 0.38 \| 0.23 \| 0.30 \| 0.26 \| 0.023 \|	\| CNN-RNN \| 0.21 \| 0.30 \| 0.21 \| 0.28 \| 0.22 \| 0.018 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| A-RNN \| 0.21 \| 0.27 \| 0.29 \| 0.41 \| 0.21 \| 0.016 \| \| AC-RNN \| 0.23 \| 0.33 \| 0.32 \| 0.29 \| 0.22 \| 0.021 \| \| Supervised \| \| \| \| \| \| \| \| E-RNN \| 0.20 \| 0.27 \| 0.37 \| 0.27 \| 0.16 \| 0.02 \| \| EC-RNN \| 0.26 \| 0.39 \| 0.22 \| 0.30 \| 0.25 \| 0.02 \| \| CNN-RNN \| 0.21 \| 0.29 \| 0.21 \| 0.27 \| 0.21 \| 0.02 \| \| A-RNN \| 0.19 \| 0.27 \| 0.28 \| 0.38 \| 0.19 \| 0.02 \| \| AC-RNN \| 0.22 \| 0.33 \| 0.31 \| 0.27 \| 0.22 \| 0.02 \|	1
\| Model \| Token<br>Sim. \| Rouge1 \| Rouge2 \| Rouge<br>-LCS \| BLEU \| Topic<br>Sim. \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Semi-supervised \| \| \| \| \| \| \| \| E-RNN \| 0.21 \| 0.28 \| 0.37 \| 0.28 \| 0.16 \| 0.015 \| \| EC-RNN \| 0.27 \| 0.38 \| 0.23 \| 0.30 \| 0.26 \| 0.023 \|	\| Model \| Token<br>Sim. \| Rouge1 \| Rouge2 \| Rouge<br>-LCS \| BLEU \| Topic<br>Sim. \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Targetsnippetlength=5sentence \| \| \| \| \| \| \| \| Fuzzy \| 0.28 \| 0.37 \| 0.28 \| 0.21 \| 0.30 \| 0.03 \| \| V-RNN \| 0.33 \| 0.41 \| 0.61 \| 0.28 \| 0.29 \| 0.03 \| \| C-RNN \| 0.40 \| 0.52 \| 0.40 \| 0.31 \| 0.41 \| 0.04 \| \| CNN-RNN \| 0.32 \| 0.43 \| 0.29 \| 0.26 \| 0.36 \| 0.04 \| \| A-RNN \| 0.31 \| 0.36 \| 0.29 \| 0.33 \| 0.37 \| 0.03 \| \| AC-RNN \| 0.36 \| 0.45 \| 0.31 \| 0.28 \| 0.37 \| 0.04 \| \| NB \| 0.31 \| 0.40 \| 0.42 \| 0.28 \| 0.18 \| 0.03 \| \| SVM \| 0.32 \| 0.40 \| 0.38 \| 0.29 \| 0.25 \| 0.03 \| \| LSA \| 0.30 \| 0.41 \| 0.40 \| 0.28 \| 0.21 \| 0.03 \| \| LexRank \| 0.30 \| 0.40 \| 0.30 \| 0.28 \| 0.28 \| 0.03 \| \| TextRank \| 0.31 \| 0.43 \| 0.39 \| 0.27 \| 0.31 \| 0.03 \|	0
\| Model \| Token<br>Sim. \| Rouge1 \| Rouge2 \| Rouge<br>-LCS \| BLEU \| Topic<br>Sim. \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Semi-supervised \| \| \| \| \| \| \| \| E-RNN \| 0.21 \| 0.28 \| 0.37 \| 0.28 \| 0.16 \| 0.015 \| \| EC-RNN \| 0.27 \| 0.38 \| 0.23 \| 0.30 \| 0.26 \| 0.023 \| \| CNN-RNN \| 0.21 \| 0.30 \| 0.21 \| 0.28 \| 0.22 \| 0.018 \| \| A-RNN \| 0.21 \| 0.27 \| 0.29 \| 0.41 \| 0.21 \| 0.016 \|	\| AC-RNN \| 0.23 \| 0.33 \| 0.32 \| 0.29 \| 0.22 \| 0.021 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Supervised \| \| \| \| \| \| \| \| E-RNN \| 0.20 \| 0.27 \| 0.37 \| 0.27 \| 0.16 \| 0.02 \| \| EC-RNN \| 0.26 \| 0.39 \| 0.22 \| 0.30 \| 0.25 \| 0.02 \| \| CNN-RNN \| 0.21 \| 0.29 \| 0.21 \| 0.27 \| 0.21 \| 0.02 \| \| A-RNN \| 0.19 \| 0.27 \| 0.28 \| 0.38 \| 0.19 \| 0.02 \| \| AC-RNN \| 0.22 \| 0.33 \| 0.31 \| 0.27 \| 0.22 \| 0.02 \|	1
\| Model \| Token<br>Sim. \| Rouge1 \| Rouge2 \| Rouge<br>-LCS \| BLEU \| Topic<br>Sim. \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Semi-supervised \| \| \| \| \| \| \| \| E-RNN \| 0.21 \| 0.28 \| 0.37 \| 0.28 \| 0.16 \| 0.015 \| \| EC-RNN \| 0.27 \| 0.38 \| 0.23 \| 0.30 \| 0.26 \| 0.023 \| \| CNN-RNN \| 0.21 \| 0.30 \| 0.21 \| 0.28 \| 0.22 \| 0.018 \| \| A-RNN \| 0.21 \| 0.27 \| 0.29 \| 0.41 \| 0.21 \| 0.016 \|	\| LexRank \| 0.30 \| 0.40 \| 0.30 \| 0.28 \| 0.28 \| 0.03 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| TextRank \| 0.31 \| 0.43 \| 0.39 \| 0.27 \| 0.31 \| 0.03 \|	0
\| CIFAR10 \| \| --- \| \| 9.01 \| \| 11.15 \| \| 10.67 \|	\| 9.40 \| \| --- \| \| 9.21 \|	1
\| CIFAR10 \| \| --- \| \| 9.01 \| \| 11.15 \| \| 10.67 \|	\| CIFAR10 \| MNIST \| NUS-WIDE \| \| --- \| --- \| --- \| \| \| \| \| \| 0.8010.8130.8120.814 \| 0.9750.9820.9820.982 \| 0.7070.7250.7310.735 \| \| 0.7210.7330.7260.747 \| 0.9510.9530.9550.966 \| 0.6400.6500.6550.635 \| \| 0.6000.6960.6890.702 \| 0.9310.9490.9580.959 \| 0.5970.6270.6470.651 \| \| 0.4960.5800.5820.583 \| 0.9250.9550.9640.965 \| 0.5360.5220.5330.531 \| \| 0.3630.5280.5290.542 \| 0.5420.9380.9430.944 \| 0.5200.5070.5910.610 \| \| 0.2680.2820.2990.318 \| 0.4930.5170.5260.559 \| 0.5820.5940.6120.607 \| \| 0.2190.2280.2390.247 \| 0.4070.4780.4870.506 \| 0.5820.5810.5830.588 \| \| 0.1690.1610.1610.159 \| 0.3010.3040.2960.287 \| 0.4860.4620.4550.448 \| \| 0.1320.1240.1440.157 \| 0.1760.1910.2200.305 \| 0.4320.4510.4640.466 \| \| 0.2550.3300.3440.360 \| 0.5260.9150.9210.926 \| 0.4140.4650.4510.454 \| \| 0.2090.2270.2370.244 \| 0.4550.4940.5130.526 \| 0.4150.4200.4310.440 \| \| 0.1580.1630.1680.169 \| 0.4040.4420.4470.460 \| 0.4280.4290.4300.431 \| \| 0.1240.1250.1250.126 \| 0.2900.2780.2600.254 \| 0.3900.3910.3890.390 \| \| 0.1160.1210.1240.131 \| 0.1620.2360.2220.276 \| 0.4040.3840.3940.400 \|	0
\| CIFAR10 \| \| --- \| \| 9.01 \|	\| 11.15 \| \| --- \| \| 10.67 \| \| 9.40 \| \| 9.21 \|	1
\| CIFAR10 \| \| --- \| \| 9.01 \|	\| 0.1240.1250.1250.126 \| 0.2900.2780.2600.254 \| 0.3900.3910.3890.390 \| \| --- \| --- \| --- \| \| 0.1160.1210.1240.131 \| 0.1620.2360.2220.276 \| 0.4040.3840.3940.400 \|	0
\| AgentsSpeed \| \| \| --- \| --- \| \| #Agents \| VerySlowSlowSameFast \|	\| Few<br>Same<br>Many \| 4.90 \| 3.33 \| 2.49 \| 3.34 \| \| --- \| --- \| --- \| --- \| --- \| \| 4.59 \| 2.91 \| 1.45 \| 3.48 \| \| \| 6.19 \| 4.33 \| 4.95 \| 3.89 \| \|	1
\| AgentsSpeed \| \| \| --- \| --- \| \| #Agents \| VerySlowSlowSameFast \|	\| AgentsSpeed \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| \| #Agents \| VerySlowSlowSameFast \| \| \| \| \| Few<br>Same<br>Many \| 2.50 \| 2.19 \| 2.10 \| 2.24 \| \| 2.63 \| 2.52 \| 2.44 \| 2.55 \| \| \| 2.86 \| 2.69 \| 2.71 \| 2.88 \| \|	0
\| AgentsSpeed \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| \| #Agents \| VerySlowSlowSameFast \| \| \| \| \| Few<br>Same<br>Many \| 4.90 \| 3.33 \| 2.49 \| 3.34 \|	\| 4.59 \| 2.91 \| 1.45 \| 3.48 \| \| --- \| --- \| --- \| --- \| \| 6.19 \| 4.33 \| 4.95 \| 3.89 \|	1
\| AgentsSpeed \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| \| #Agents \| VerySlowSlowSameFast \| \| \| \| \| Few<br>Same<br>Many \| 4.90 \| 3.33 \| 2.49 \| 3.34 \|	\| 2.63 \| 2.52 \| 2.44 \| 2.55 \| \| --- \| --- \| --- \| --- \| \| 2.86 \| 2.69 \| 2.71 \| 2.88 \|	0
\| Tested<br>Scheme \| Classiﬁer<br>I \| Classiﬁer<br>II \| Classiﬁer<br>III \| Classiﬁer<br>IV \| Classiﬁer<br>V \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| (i) \| O \| NRS \| NR \| - \| - \| \| (ii) \| O \| NRS \| NS \| - \| - \| \| (iii) \| O \| NRS \| RS \| - \| - \| \| (iv) \| O \| NS \| RS \| - \| - \|	\| (v) \| O \| NS \| NR \| - \| - \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| (vi) \| O \| RS \| NR \| - \| - \| \| (vii) \| NRS \| NR \| RS \| - \| - \| \| (viii) \| NRS \| NR \| NS \| - \| - \| \| (ix) \| NRS \| NS \| RS \| - \| - \| \| (x) \| NS \| RS \| NR \| - \| - \| \| (xi) \| O \| NS \| RS \| NR \| NRS \|	1
\| Tested<br>Scheme \| Classiﬁer<br>I \| Classiﬁer<br>II \| Classiﬁer<br>III \| Classiﬁer<br>IV \| Classiﬁer<br>V \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| (i) \| O \| NRS \| NR \| - \| - \| \| (ii) \| O \| NRS \| NS \| - \| - \| \| (iii) \| O \| NRS \| RS \| - \| - \| \| (iv) \| O \| NS \| RS \| - \| - \|	\| Schemes<br>forCT \| Parameters \| Proofof<br>Presenceofa<br>Certiﬁcate<br>(Type1) \| Proofof<br>Absenceofa<br>Certiﬁcate<br>(Type2) \| Proofof<br>Absenceofa<br>DomainOwner<br>(Type3) \| Proof<br>of<br>Extension<br>(Type4) \| Proof<br>of<br>Currency<br>(Type5) \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Google \| ProofSize \| O(logn) \| - \| - \| O(logn) \| - \| \| CostofProof<br>Computation \| O(logn) \| - \| - \| O(logn) \| - \| \| \| CostofProof<br>Veriﬁcation \| O(logn) \| - \| - \| O(logn) \| - \| \| \| Ryan \| ProofSize \| - \| - \| O(logt) \| O(logn) \| O(logt) \| \| CostofProof<br>Computation \| - \| - \| O(logt) \| O(logn) \| O(logt) \| \| \| CostofProof<br>Veriﬁcation \| - \| - \| O(logt) \| O(logn) \| O(logt) \| \| \| Our<br>Scheme \| ProofSize \| O(logt) \| O(1) \| O(logt) \| O(logn) \| O(1) \| \| CostofProof<br>Computation \| †<br>O(logt) \| O(m) \| O(logt) \| O(logn) \| O(logm) \| \| \| CostofProof<br>Veriﬁcation \| †<br>O(logt) \| O(1) \| O(logt) \| O(logn) \| O(1) \| \|	0
\| Tested<br>Scheme \| Classiﬁer<br>I \| Classiﬁer<br>II \| Classiﬁer<br>III \| Classiﬁer<br>IV \| Classiﬁer<br>V \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| (i) \| O \| NRS \| NR \| - \| - \| \| (ii) \| O \| NRS \| NS \| - \| - \| \| (iii) \| O \| NRS \| RS \| - \| - \| \| (iv) \| O \| NS \| RS \| - \| - \| \| (v) \| O \| NS \| NR \| - \| - \|	\| (vi) \| O \| RS \| NR \| - \| - \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| (vii) \| NRS \| NR \| RS \| - \| - \| \| (viii) \| NRS \| NR \| NS \| - \| - \| \| (ix) \| NRS \| NS \| RS \| - \| - \| \| (x) \| NS \| RS \| NR \| - \| - \| \| (xi) \| O \| NS \| RS \| NR \| NRS \|	1
\| Tested<br>Scheme \| Classiﬁer<br>I \| Classiﬁer<br>II \| Classiﬁer<br>III \| Classiﬁer<br>IV \| Classiﬁer<br>V \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| (i) \| O \| NRS \| NR \| - \| - \| \| (ii) \| O \| NRS \| NS \| - \| - \| \| (iii) \| O \| NRS \| RS \| - \| - \| \| (iv) \| O \| NS \| RS \| - \| - \| \| (v) \| O \| NS \| NR \| - \| - \|	\| Our<br>Scheme \| ProofSize \| O(logt) \| O(1) \| O(logt) \| O(logn) \| O(1) \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| CostofProof<br>Computation \| †<br>O(logt) \| O(m) \| O(logt) \| O(logn) \| O(logm) \| \| \| CostofProof<br>Veriﬁcation \| †<br>O(logt) \| O(1) \| O(logt) \| O(logn) \| O(1) \| \|	0
\| Exp \| FIoU \| BIoU \| AvgIoU \| Acc \| OvrlPr \| OvrlRe \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| large \| 75.2 \| 97.9 \| 86.5 \| 98.0 \| 85.7 \| 85.9 \| \| medium \| 80.0 \| 98.0 \| 89.0 \| 98.1 \| 87.6 \| 90.2 \| \| small \| 75.0 \| 98.0 \| 86.5 \| 98.1 \| 85.7 \| 85.7 \| \| \| 38.3 \| 96.6 \| 67.4 \| 96.7 \| 88.0 \| 40.4 \| \| CNNRaw \| 80.6 \| 98.8 \| 89.7 \| 98.9 \| 88.0 \| 90.6 \| \| Unary \| 80.6 \| 98.8 \| 89.7 \| 98.9 \| 88.0 \| 90.6 \| \| Unary+ShortRange \| 80.8 \| 98.8 \| 89.8 \| 98.9 \| 87.4 \| 91.4 \| \| Full \| 80.7 \| 98.8 \| 89.8 \| 98.9 \| 86.6 \| 92.2 \|	\| CNNRaw+PP \| 80.4 \| 98.8 \| 89.6 \| 98.9 \| 88.2 \| 90.2 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Unary+PP \| 80.6 \| 98.8 \| 89.7 \| 98.9 \| 88.1 \| 90.4 \| \| Unary+ShortRange+PP \| 80.6 \| 98.8 \| 89.7 \| 98.9 \| 87.5 \| 91.1 \| \| Full+PP \| 80.5 \| 98.8 \| 89.7 \| 98.9 \| 87.0 \| 91.5 \|	1
\| Exp \| FIoU \| BIoU \| AvgIoU \| Acc \| OvrlPr \| OvrlRe \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| large \| 75.2 \| 97.9 \| 86.5 \| 98.0 \| 85.7 \| 85.9 \| \| medium \| 80.0 \| 98.0 \| 89.0 \| 98.1 \| 87.6 \| 90.2 \| \| small \| 75.0 \| 98.0 \| 86.5 \| 98.1 \| 85.7 \| 85.7 \| \| \| 38.3 \| 96.6 \| 67.4 \| 96.7 \| 88.0 \| 40.4 \| \| CNNRaw \| 80.6 \| 98.8 \| 89.7 \| 98.9 \| 88.0 \| 90.6 \| \| Unary \| 80.6 \| 98.8 \| 89.7 \| 98.9 \| 88.0 \| 90.6 \| \| Unary+ShortRange \| 80.8 \| 98.8 \| 89.8 \| 98.9 \| 87.4 \| 91.4 \| \| Full \| 80.7 \| 98.8 \| 89.8 \| 98.9 \| 86.6 \| 92.2 \|	\| \| Gradual \| Sharp \| \| \| \| \| \| \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Video \| #T \| TP \| FP \| FN \| P \| R \| F \| #T \| TP \| FP \| FN \| P \| \| 1004ABCa \| 203 \| 166 \| 13 \| 37 \| 0.927 \| 0.818 \| 0.869 \| 224 \| 213 \| 22 \| 11 \| 0.906 \| \| 1012CNNa \| 170 \| 136 \| 13 \| 34 \| 0.913 \| 0.8 \| 0.853 \| 215 \| 194 \| 15 \| 21 \| 0.928 \| \| 1016CNNa \| 150 \| 119 \| 9 \| 31 \| 0.93 \| 0.793 \| 0.856 \| 242 \| 214 \| 13 \| 28 \| 0.943 \| \| 1021ABCa \| 175 \| 154 \| 13 \| 21 \| 0.922 \| 0.88 \| 0.901 \| 240 \| 230 \| 18 \| 10 \| 0.927 \| \| 1101CNNa \| 204 \| 172 \| 20 \| 32 \| 0.896 \| 0.843 \| 0.869 \| 191 \| 187 \| 11 \| 4 \| 0.944 \| \| 1109ABCa \| 170 \| 151 \| 10 \| 19 \| 0.938 \| 0.888 \| 0.912 \| 257 \| 246 \| 15 \| 11 \| 0.943 \| \| 1123CNNa \| 126 \| 93 \| 29 \| 33 \| 0.762 \| 0.738 \| 0.75 \| 236 \| 214 \| 10 \| 22 \| 0.955 \| \| 1126ABCa \| 189 \| 168 \| 12 \| 21 \| 0.933 \| 0.889 \| 0.911 \| 273 \| 261 \| 23 \| 12 \| 0.919 \| \| 1208CNNa \| 137 \| 112 \| 15 \| 25 \| 0.882 \| 0.818 \| 0.848 \| 212 \| 196 \| 17 \| 16 \| 0.92 \| \| 1210ABCa \| 159 \| 140 \| 8 \| 19 \| 0.946 \| 0.881 \| 0.912 \| 271 \| 252 \| 14 \| 19 \| 0.947 \| \| 1216CNNa \| 153 \| 119 \| 11 \| 34 \| 0.915 \| 0.778 \| 0.841 \| 197 \| 187 \| 26 \| 10 \| 0.878 \| \| 1221ABCa \| 195 \| 149 \| 14 \| 46 \| 0.914 \| 0.764 \| 0.832 \| 217 \| 197 \| 27 \| 20 \| 0.879 \| \| Total \| 2031 \| 1679 \| 167 \| 352 \| 0.91 \| 0.827 \| 0.866 \| 2031 \| 2591 \| 211 \| 184 \| 0.925 \|	0
\| Exp \| FIoU \| BIoU \| AvgIoU \| Acc \| OvrlPr \| OvrlRe \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| large \| 75.2 \| 97.9 \| 86.5 \| 98.0 \| 85.7 \| 85.9 \| \| medium \| 80.0 \| 98.0 \| 89.0 \| 98.1 \| 87.6 \| 90.2 \| \| small \| 75.0 \| 98.0 \| 86.5 \| 98.1 \| 85.7 \| 85.7 \| \| \| 38.3 \| 96.6 \| 67.4 \| 96.7 \| 88.0 \| 40.4 \| \| CNNRaw \| 80.6 \| 98.8 \| 89.7 \| 98.9 \| 88.0 \| 90.6 \| \| Unary \| 80.6 \| 98.8 \| 89.7 \| 98.9 \| 88.0 \| 90.6 \| \| Unary+ShortRange \| 80.8 \| 98.8 \| 89.8 \| 98.9 \| 87.4 \| 91.4 \| \| Full \| 80.7 \| 98.8 \| 89.8 \| 98.9 \| 86.6 \| 92.2 \|	\| CNNRaw+PP \| 80.4 \| 98.8 \| 89.6 \| 98.9 \| 88.2 \| 90.2 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Unary+PP \| 80.6 \| 98.8 \| 89.7 \| 98.9 \| 88.1 \| 90.4 \| \| Unary+ShortRange+PP \| 80.6 \| 98.8 \| 89.7 \| 98.9 \| 87.5 \| 91.1 \| \| Full+PP \| 80.5 \| 98.8 \| 89.7 \| 98.9 \| 87.0 \| 91.5 \|	1
\| Exp \| FIoU \| BIoU \| AvgIoU \| Acc \| OvrlPr \| OvrlRe \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| large \| 75.2 \| 97.9 \| 86.5 \| 98.0 \| 85.7 \| 85.9 \| \| medium \| 80.0 \| 98.0 \| 89.0 \| 98.1 \| 87.6 \| 90.2 \| \| small \| 75.0 \| 98.0 \| 86.5 \| 98.1 \| 85.7 \| 85.7 \| \| \| 38.3 \| 96.6 \| 67.4 \| 96.7 \| 88.0 \| 40.4 \| \| CNNRaw \| 80.6 \| 98.8 \| 89.7 \| 98.9 \| 88.0 \| 90.6 \| \| Unary \| 80.6 \| 98.8 \| 89.7 \| 98.9 \| 88.0 \| 90.6 \| \| Unary+ShortRange \| 80.8 \| 98.8 \| 89.8 \| 98.9 \| 87.4 \| 91.4 \| \| Full \| 80.7 \| 98.8 \| 89.8 \| 98.9 \| 86.6 \| 92.2 \|	\| 1208CNNa \| 137 \| 112 \| 15 \| 25 \| 0.882 \| 0.818 \| 0.848 \| 212 \| 196 \| 17 \| 16 \| 0.92 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| 1210ABCa \| 159 \| 140 \| 8 \| 19 \| 0.946 \| 0.881 \| 0.912 \| 271 \| 252 \| 14 \| 19 \| 0.947 \| \| 1216CNNa \| 153 \| 119 \| 11 \| 34 \| 0.915 \| 0.778 \| 0.841 \| 197 \| 187 \| 26 \| 10 \| 0.878 \| \| 1221ABCa \| 195 \| 149 \| 14 \| 46 \| 0.914 \| 0.764 \| 0.832 \| 217 \| 197 \| 27 \| 20 \| 0.879 \| \| Total \| 2031 \| 1679 \| 167 \| 352 \| 0.91 \| 0.827 \| 0.866 \| 2031 \| 2591 \| 211 \| 184 \| 0.925 \|	0
\| Layer \| Filter \| Padding \| Dilation(l) \| Non-linearity \| \| --- \| --- \| --- \| --- \| --- \| \| 1 \| 96x3 \| 1 \| 1 \| ReLU \| \| 2 \| 96x3 \| 1 \| 1 \| ReLU \| \| 3 \| 96x3 \| 1 \| 1 \| ReLU \|	\| 4 \| 96x3 \| 2 \| 2 \| ReLU \| \| --- \| --- \| --- \| --- \| --- \| \| 5 \| 96x3 \| 4 \| 4 \| ReLU \| \| 6 \| 96x3 \| 8 \| 8 \| ReLU \| \| 7 \| 96x3 \| 1 \| 1 \| ReLU \| \| 8 \| 50x1 \| 0 \| 1 \| Softmax \|	1
\| Layer \| Filter \| Padding \| Dilation(l) \| Non-linearity \| \| --- \| --- \| --- \| --- \| --- \| \| 1 \| 96x3 \| 1 \| 1 \| ReLU \| \| 2 \| 96x3 \| 1 \| 1 \| ReLU \| \| 3 \| 96x3 \| 1 \| 1 \| ReLU \|	\| Layers \| Conv1 \| Conv2 \| Conv3 \| Conv4 \| Conv5 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| Filtersize \| 3×3 \| 3×3 \| 3×3 \| 3×3 \| 3×3 \| \| Filternumber \| 24 \| 24 \| 24 \| 24 \| 2 \| \| Stride \| 1 \| 1 \| 1 \| 1 \| 1 \| \| Function \| PReLU \| PReLU \| PReLU \| PReLU \| Tanh \|	0
\| Layer \| Filter \| Padding \| Dilation(l) \| Non-linearity \| \| --- \| --- \| --- \| --- \| --- \| \| 1 \| 96x3 \| 1 \| 1 \| ReLU \| \| 2 \| 96x3 \| 1 \| 1 \| ReLU \| \| 3 \| 96x3 \| 1 \| 1 \| ReLU \| \| 4 \| 96x3 \| 2 \| 2 \| ReLU \| \| 5 \| 96x3 \| 4 \| 4 \| ReLU \|	\| 6 \| 96x3 \| 8 \| 8 \| ReLU \| \| --- \| --- \| --- \| --- \| --- \| \| 7 \| 96x3 \| 1 \| 1 \| ReLU \| \| 8 \| 50x1 \| 0 \| 1 \| Softmax \|	1
\| Layer \| Filter \| Padding \| Dilation(l) \| Non-linearity \| \| --- \| --- \| --- \| --- \| --- \| \| 1 \| 96x3 \| 1 \| 1 \| ReLU \| \| 2 \| 96x3 \| 1 \| 1 \| ReLU \| \| 3 \| 96x3 \| 1 \| 1 \| ReLU \| \| 4 \| 96x3 \| 2 \| 2 \| ReLU \| \| 5 \| 96x3 \| 4 \| 4 \| ReLU \|	\| Stride \| 1 \| 1 \| 1 \| 1 \| 1 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| Function \| PReLU \| PReLU \| PReLU \| PReLU \| Tanh \|	0
\| Team \| ML \| BM \| EB1 \| EB2 \| \| --- \| --- \| --- \| --- \| --- \| \| T-1 \| 0.45 \| 0.51 \| 0.52 \| 0.60 \| \| T-2 \| 0.22 \| 0.45 \| 0.38 \| 0.43 \| \| T-3 \| 0.30 \| 0.40 \| 0.47 \| 0.66 \| \| T-4 \| 0.26 \| 0.44 \| 0.42 \| 0.44 \| \| T-5 \| 0.26 \| 0.45 \| 0.45 \| 0.56 \| \| T-6 \| 0.5 \| 0.49 \| 0.55 \| 0.7 \| \| T-7 \| 0.45 \| 0.53 \| 0.56 \| 0.66 \| \| T-8 \| 0.42 \| 0.61 \| 0.58 \| 0.74 \| \| T-9 \| 0.41 \| 0.50 \| 0.53 \| 0.76 \| \| T-10 \| 0.30 \| 0.42 \| 0.41 \| 0.41 \| \| T-11 \| 0.37 \| 0.44 \| 0.5 \| 0.73 \| \| T-12 \| 0.24 \| 0.43 \| 0.36 \| 0.52 \| \| T-13 \| 0.35 \| 0.63 \| 0.64 \| 0.75 \| \| T-14 \| 0.42 \| 0.52 \| 0.53 \| 0.67 \| \| T-15 \| 0.30 \| 0.38 \| 0.55 \| 0.64 \| \| T-16 \| 0.43 \| 0.48 \| 0.55 \| 0.65 \| \| T-17 \| 0.42 \| 0.58 \| 0.58 \| 0.68 \| \| T-18 \| 0.48 \| 0.50 \| 0.52 \| 0.65 \|	\| T-19 \| 0.41 \| 0.51 \| 0.56 \| 0.68 \| \| --- \| --- \| --- \| --- \| --- \| \| T-20 \| 0.48 \| 0.51 \| 0.64 \| 0.71 \|	1
\| Team \| ML \| BM \| EB1 \| EB2 \| \| --- \| --- \| --- \| --- \| --- \| \| T-1 \| 0.45 \| 0.51 \| 0.52 \| 0.60 \| \| T-2 \| 0.22 \| 0.45 \| 0.38 \| 0.43 \| \| T-3 \| 0.30 \| 0.40 \| 0.47 \| 0.66 \| \| T-4 \| 0.26 \| 0.44 \| 0.42 \| 0.44 \| \| T-5 \| 0.26 \| 0.45 \| 0.45 \| 0.56 \| \| T-6 \| 0.5 \| 0.49 \| 0.55 \| 0.7 \| \| T-7 \| 0.45 \| 0.53 \| 0.56 \| 0.66 \| \| T-8 \| 0.42 \| 0.61 \| 0.58 \| 0.74 \| \| T-9 \| 0.41 \| 0.50 \| 0.53 \| 0.76 \| \| T-10 \| 0.30 \| 0.42 \| 0.41 \| 0.41 \| \| T-11 \| 0.37 \| 0.44 \| 0.5 \| 0.73 \| \| T-12 \| 0.24 \| 0.43 \| 0.36 \| 0.52 \| \| T-13 \| 0.35 \| 0.63 \| 0.64 \| 0.75 \| \| T-14 \| 0.42 \| 0.52 \| 0.53 \| 0.67 \| \| T-15 \| 0.30 \| 0.38 \| 0.55 \| 0.64 \| \| T-16 \| 0.43 \| 0.48 \| 0.55 \| 0.65 \| \| T-17 \| 0.42 \| 0.58 \| 0.58 \| 0.68 \| \| T-18 \| 0.48 \| 0.50 \| 0.52 \| 0.65 \|	\| t,T \| at \| bt \| pA,t \| PA,t \| \| --- \| --- \| --- \| --- \| --- \| \| 0,1 \| 0.080 \| 0 \| 0.500 \| 0.722 \| \| 5,2 \| 0 \| 0.117 \| 0.722 \| 0.839 \| \| 10,3 \| 0 \| 0.261 \| 0839 \| 0.564 \| \| 15,4 \| 0 \| 0.055 \| 0.564 \| 0.712 \| \| 20,5 \| 0 \| 0.077 \| 0.712 \| 0.903 \| \| 25,6 \| 0 \| 0.154 \| 0.903 \| 0.803 \| \| 30,7 \| 0 \| 0.251 \| 0.803 \| 0.576 \| \| 35,8 \| 0 \| 0.108 \| 0.576 \| 0.590 \| \| 40,9 \| 0 \| 0.176 \| 0.590 \| 0.437 \| \| 45,10 \| 0.1397 \| 0 \| 0.437 \| 0.568 \| \| 50,11 \| 0 \| 0.152 \| 0.568 \| 0.419 \| \| 55,12 \| 00746 \| 0 \| 0.419 \| 0.283 \|	0
\| Team \| ML \| BM \| EB1 \| EB2 \| \| --- \| --- \| --- \| --- \| --- \| \| T-1 \| 0.45 \| 0.51 \| 0.52 \| 0.60 \| \| T-2 \| 0.22 \| 0.45 \| 0.38 \| 0.43 \| \| T-3 \| 0.30 \| 0.40 \| 0.47 \| 0.66 \| \| T-4 \| 0.26 \| 0.44 \| 0.42 \| 0.44 \| \| T-5 \| 0.26 \| 0.45 \| 0.45 \| 0.56 \| \| T-6 \| 0.5 \| 0.49 \| 0.55 \| 0.7 \| \| T-7 \| 0.45 \| 0.53 \| 0.56 \| 0.66 \| \| T-8 \| 0.42 \| 0.61 \| 0.58 \| 0.74 \| \| T-9 \| 0.41 \| 0.50 \| 0.53 \| 0.76 \| \| T-10 \| 0.30 \| 0.42 \| 0.41 \| 0.41 \| \| T-11 \| 0.37 \| 0.44 \| 0.5 \| 0.73 \| \| T-12 \| 0.24 \| 0.43 \| 0.36 \| 0.52 \| \| T-13 \| 0.35 \| 0.63 \| 0.64 \| 0.75 \| \| T-14 \| 0.42 \| 0.52 \| 0.53 \| 0.67 \| \| T-15 \| 0.30 \| 0.38 \| 0.55 \| 0.64 \| \| T-16 \| 0.43 \| 0.48 \| 0.55 \| 0.65 \| \| T-17 \| 0.42 \| 0.58 \| 0.58 \| 0.68 \| \| T-18 \| 0.48 \| 0.50 \| 0.52 \| 0.65 \|	\| T-19 \| 0.41 \| 0.51 \| 0.56 \| 0.68 \| \| --- \| --- \| --- \| --- \| --- \| \| T-20 \| 0.48 \| 0.51 \| 0.64 \| 0.71 \|	1
\| Team \| ML \| BM \| EB1 \| EB2 \| \| --- \| --- \| --- \| --- \| --- \| \| T-1 \| 0.45 \| 0.51 \| 0.52 \| 0.60 \| \| T-2 \| 0.22 \| 0.45 \| 0.38 \| 0.43 \| \| T-3 \| 0.30 \| 0.40 \| 0.47 \| 0.66 \| \| T-4 \| 0.26 \| 0.44 \| 0.42 \| 0.44 \| \| T-5 \| 0.26 \| 0.45 \| 0.45 \| 0.56 \| \| T-6 \| 0.5 \| 0.49 \| 0.55 \| 0.7 \| \| T-7 \| 0.45 \| 0.53 \| 0.56 \| 0.66 \| \| T-8 \| 0.42 \| 0.61 \| 0.58 \| 0.74 \| \| T-9 \| 0.41 \| 0.50 \| 0.53 \| 0.76 \| \| T-10 \| 0.30 \| 0.42 \| 0.41 \| 0.41 \| \| T-11 \| 0.37 \| 0.44 \| 0.5 \| 0.73 \| \| T-12 \| 0.24 \| 0.43 \| 0.36 \| 0.52 \| \| T-13 \| 0.35 \| 0.63 \| 0.64 \| 0.75 \| \| T-14 \| 0.42 \| 0.52 \| 0.53 \| 0.67 \| \| T-15 \| 0.30 \| 0.38 \| 0.55 \| 0.64 \| \| T-16 \| 0.43 \| 0.48 \| 0.55 \| 0.65 \| \| T-17 \| 0.42 \| 0.58 \| 0.58 \| 0.68 \| \| T-18 \| 0.48 \| 0.50 \| 0.52 \| 0.65 \|	\| 5,2 \| 0 \| 0.117 \| 0.722 \| 0.839 \| \| --- \| --- \| --- \| --- \| --- \| \| 10,3 \| 0 \| 0.261 \| 0839 \| 0.564 \| \| 15,4 \| 0 \| 0.055 \| 0.564 \| 0.712 \| \| 20,5 \| 0 \| 0.077 \| 0.712 \| 0.903 \| \| 25,6 \| 0 \| 0.154 \| 0.903 \| 0.803 \| \| 30,7 \| 0 \| 0.251 \| 0.803 \| 0.576 \| \| 35,8 \| 0 \| 0.108 \| 0.576 \| 0.590 \| \| 40,9 \| 0 \| 0.176 \| 0.590 \| 0.437 \| \| 45,10 \| 0.1397 \| 0 \| 0.437 \| 0.568 \| \| 50,11 \| 0 \| 0.152 \| 0.568 \| 0.419 \| \| 55,12 \| 00746 \| 0 \| 0.419 \| 0.283 \|	0
\| 81.25(81.00,81.47) \| 80.83(80.69,80.91) \| 80.05(79.69,80.41) \| 80.11(79.89,80.36) \| \| --- \| --- \| --- \| --- \| \| 47.24(46.90,47.65) \| 46.63(46.31,47.12) \| 46.04(45.27,46.61) \| 45.91(45.16,46.49) \|	\| 85.53(85.26,85.80) \| 84.61(84.47,84.90) \| 84.09(83.94,84.22) \| 84.02(83.57,84.28) \| \| --- \| --- \| --- \| --- \| \| 93.18(93.09,93.31) \| 92.49(92.33,92.61) \| 92.66(92.50,92.79) \| 92.52(92.33,92.96) \| \| 91.53(91.26,91.78) \| 89.93(89.75,90.09) \| 89.73(89.61,89.83) \| 89.49(89.31,89.65) \| \| 83.81(83.44,84.37) \| 82.70(82.14,83.11) \| 82.46(82.17,82.76) \| 82.26(81.86,82.90) \| \| 89.39(89.14,89.58) \| 89.36(89.17,89.57) \| 89.14(89.00,89.45) \| 89.31(89.18,89.48) \|	1
\| 81.25(81.00,81.47) \| 80.83(80.69,80.91) \| 80.05(79.69,80.41) \| 80.11(79.89,80.36) \| \| --- \| --- \| --- \| --- \| \| 47.24(46.90,47.65) \| 46.63(46.31,47.12) \| 46.04(45.27,46.61) \| 45.91(45.16,46.49) \|	\| 79.75(79.47,80.03) \| 80.20(80.02,80.35) \| 80.68(80.14,81.21) \| 80.99(80.65,81.30) \| \| --- \| --- \| --- \| --- \| \| 44.98(44.06,45.68) \| 46.10(45.37,46.84) \| 46.75(46.35,47.36) \| 47.02(46.59,47.59) \| \| 83.69(83.46,84.07) \| 84.63(84.44,84.88) \| 85.18(84.64,85.59) \| 85.38(85.31,85.49) \| \| 92.60(92.28,92.76) \| 92.87(92.69,93.17) \| 93.06(92.81,93.19) \| 93.13(92.79,93.32) \| \| 90.29(89.93,90.61) \| 91.42(91.16,91.71) \| 91.52(91.23,91.72) \| 91.47(91.15,91.64) \| \| 81.72(81.21,82.20) \| 82.71(82.06,83.30) \| 83.44(83.06,83.90) \| 83.70(83.31,84.25) \| \| 89.15(88.83,89.47) \| 89.39(89.14,89.56) \| 89.30(89.16,89.60) \| 89.37(88.99,89.61) \|	0
\| 81.25(81.00,81.47) \| 80.83(80.69,80.91) \| 80.05(79.69,80.41) \| 80.11(79.89,80.36) \| \| --- \| --- \| --- \| --- \| \| 47.24(46.90,47.65) \| 46.63(46.31,47.12) \| 46.04(45.27,46.61) \| 45.91(45.16,46.49) \| \| 85.53(85.26,85.80) \| 84.61(84.47,84.90) \| 84.09(83.94,84.22) \| 84.02(83.57,84.28) \| \| 93.18(93.09,93.31) \| 92.49(92.33,92.61) \| 92.66(92.50,92.79) \| 92.52(92.33,92.96) \| \| 91.53(91.26,91.78) \| 89.93(89.75,90.09) \| 89.73(89.61,89.83) \| 89.49(89.31,89.65) \|	\| 83.81(83.44,84.37) \| 82.70(82.14,83.11) \| 82.46(82.17,82.76) \| 82.26(81.86,82.90) \| \| --- \| --- \| --- \| --- \| \| 89.39(89.14,89.58) \| 89.36(89.17,89.57) \| 89.14(89.00,89.45) \| 89.31(89.18,89.48) \|	1
\| 81.25(81.00,81.47) \| 80.83(80.69,80.91) \| 80.05(79.69,80.41) \| 80.11(79.89,80.36) \| \| --- \| --- \| --- \| --- \| \| 47.24(46.90,47.65) \| 46.63(46.31,47.12) \| 46.04(45.27,46.61) \| 45.91(45.16,46.49) \| \| 85.53(85.26,85.80) \| 84.61(84.47,84.90) \| 84.09(83.94,84.22) \| 84.02(83.57,84.28) \| \| 93.18(93.09,93.31) \| 92.49(92.33,92.61) \| 92.66(92.50,92.79) \| 92.52(92.33,92.96) \| \| 91.53(91.26,91.78) \| 89.93(89.75,90.09) \| 89.73(89.61,89.83) \| 89.49(89.31,89.65) \|	\| 83.69(83.46,84.07) \| 84.63(84.44,84.88) \| 85.18(84.64,85.59) \| 85.38(85.31,85.49) \| \| --- \| --- \| --- \| --- \| \| 92.60(92.28,92.76) \| 92.87(92.69,93.17) \| 93.06(92.81,93.19) \| 93.13(92.79,93.32) \| \| 90.29(89.93,90.61) \| 91.42(91.16,91.71) \| 91.52(91.23,91.72) \| 91.47(91.15,91.64) \| \| 81.72(81.21,82.20) \| 82.71(82.06,83.30) \| 83.44(83.06,83.90) \| 83.70(83.31,84.25) \| \| 89.15(88.83,89.47) \| 89.39(89.14,89.56) \| 89.30(89.16,89.60) \| 89.37(88.99,89.61) \|	0
\| Non-EnglishorMath \| Frequency \| Comments \| \| --- \| --- \| --- \| \| Ø \| 1in1,000 \| ForSwedishnames \| \| π \| 1in5 \| Commoninmath \|	\| $ \| 4in5 \| Usedinbusiness \| \| --- \| --- \| --- \| \| Ψ \| 1in40,000 \| Unexplainedusage \|	1
\| Non-EnglishorMath \| Frequency \| Comments \| \| --- \| --- \| --- \| \| Ø \| 1in1,000 \| ForSwedishnames \| \| π \| 1in5 \| Commoninmath \|	\| Non-EnglishorMath \| Frequency \| Comments \| \| --- \| --- \| --- \| \| Ø \| 1in1,000 \| ForSwedishnames \| \| π \| 1in5 \| Commoninmath \| \| $ \| 4in5 \| Usedinbusiness \| \| Ψ \| 1in40,000 \| Unexplainedusage \|	0
\| Non-EnglishorMath \| Frequency \| Comments \| \| --- \| --- \| --- \| \| Ø \| 1in1,000 \| ForSwedishnames \| \| π \| 1in5 \| Commoninmath \|	\| $ \| 4in5 \| Usedinbusiness \| \| --- \| --- \| --- \| \| Ψ \| 1in40,000 \| Unexplainedusage \|	1
\| Non-EnglishorMath \| Frequency \| Comments \| \| --- \| --- \| --- \| \| Ø \| 1in1,000 \| ForSwedishnames \| \| π \| 1in5 \| Commoninmath \|	\| $ \| 4in5 \| Usedinbusiness \| \| --- \| --- \| --- \| \| Ψ \| 1in40,000 \| Unexplainedusage \|	0
\| Protocolphase \| Entity \| (#rangepolicies,#setpolicies)=(2,4)<br>TypeATypeA1TypeE \| \| \| \| --- \| --- \| --- \| --- \| --- \| \| SystemInitialisation-CentralAuthority(CA) \| \| \| \| \| \| initialisethesystem \| CA \| 626.05.1 \| 9155.95 \| 2895.25 \| \| Issuingphase \| \| \| \| \| \| generatePoKΠ \| Seller \| 184.25 \| 2881.8 \| 469.1 \| \| verifyΠ \| User \| 107.9 \| 1424.95 \| 286.2 \| \| generateticketrequest,Π \| User \| 1008.7 \| 17195.95 \| 2847.35 \| \| verifyΠ \| Seller \| 787.3 \| 11288.0 \| 2166.25 \|	\| generateticket \| Seller \| 47.85 \| 583.0 \| 120.3 \| \| --- \| --- \| --- \| --- \| --- \| \| verifyticket \| User \| 52.5 \| 856.75 \| 158.35 \| \| TicketVeriﬁcation-Veriﬁer(V) \| \| \| \| \| \| generatetickettranscriptTransT \| User \| 241.4 \| 3538.7 \| 707.4 \| \| verifytranscript \| Veriﬁer \| 214.05 \| 2539.8 \| 649.8 \| \| Totalsystemruntime \| \| \| \| \| \| Allphases \| All \| 3659.1 \| 54382.95 \| 11383.1 \|	1
\| Protocolphase \| Entity \| (#rangepolicies,#setpolicies)=(2,4)<br>TypeATypeA1TypeE \| \| \| \| --- \| --- \| --- \| --- \| --- \| \| SystemInitialisation-CentralAuthority(CA) \| \| \| \| \| \| initialisethesystem \| CA \| 626.05.1 \| 9155.95 \| 2895.25 \| \| Issuingphase \| \| \| \| \| \| generatePoKΠ \| Seller \| 184.25 \| 2881.8 \| 469.1 \| \| verifyΠ \| User \| 107.9 \| 1424.95 \| 286.2 \| \| generateticketrequest,Π \| User \| 1008.7 \| 17195.95 \| 2847.35 \| \| verifyΠ \| Seller \| 787.3 \| 11288.0 \| 2166.25 \|	\| Parameter \| Values \| \| --- \| --- \| \| NumberofnodesN \| 1000,5000 \| \| Maximumnodedegreemaxk \| 50 \| \| Averagenodedegreeavgk \| 10 \| \| Degreedistributionτ1 \| -2 \| \| Maximumcommunitysizemaxc \| 50,100 \| \| Minimumcommunitysizeminc \| 10,20 \| \| Communitysizedistributionτ2 \| -1 \| \| Mixingparameterµ \| [0.05,0.075]withstepof0.05 \| \| OverlappingNodesOn \| 500 \| \| OverlappingMembershipsOm \| [1,8]withstepof1 \|	0
\| Protocolphase \| Entity \| (#rangepolicies,#setpolicies)=(2,4)<br>TypeATypeA1TypeE \| \| \| \| --- \| --- \| --- \| --- \| --- \| \| SystemInitialisation-CentralAuthority(CA) \| \| \| \| \| \| initialisethesystem \| CA \| 626.05.1 \| 9155.95 \| 2895.25 \| \| Issuingphase \| \| \| \| \| \| generatePoKΠ \| Seller \| 184.25 \| 2881.8 \| 469.1 \| \| verifyΠ \| User \| 107.9 \| 1424.95 \| 286.2 \| \| generateticketrequest,Π \| User \| 1008.7 \| 17195.95 \| 2847.35 \| \| verifyΠ \| Seller \| 787.3 \| 11288.0 \| 2166.25 \| \| generateticket \| Seller \| 47.85 \| 583.0 \| 120.3 \|	\| verifyticket \| User \| 52.5 \| 856.75 \| 158.35 \| \| --- \| --- \| --- \| --- \| --- \| \| TicketVeriﬁcation-Veriﬁer(V) \| \| \| \| \| \| generatetickettranscriptTransT \| User \| 241.4 \| 3538.7 \| 707.4 \| \| verifytranscript \| Veriﬁer \| 214.05 \| 2539.8 \| 649.8 \| \| Totalsystemruntime \| \| \| \| \| \| Allphases \| All \| 3659.1 \| 54382.95 \| 11383.1 \|	1
\| Protocolphase \| Entity \| (#rangepolicies,#setpolicies)=(2,4)<br>TypeATypeA1TypeE \| \| \| \| --- \| --- \| --- \| --- \| --- \| \| SystemInitialisation-CentralAuthority(CA) \| \| \| \| \| \| initialisethesystem \| CA \| 626.05.1 \| 9155.95 \| 2895.25 \| \| Issuingphase \| \| \| \| \| \| generatePoKΠ \| Seller \| 184.25 \| 2881.8 \| 469.1 \| \| verifyΠ \| User \| 107.9 \| 1424.95 \| 286.2 \| \| generateticketrequest,Π \| User \| 1008.7 \| 17195.95 \| 2847.35 \| \| verifyΠ \| Seller \| 787.3 \| 11288.0 \| 2166.25 \| \| generateticket \| Seller \| 47.85 \| 583.0 \| 120.3 \|	\| OverlappingNodesOn \| 500 \| \| --- \| --- \| \| OverlappingMembershipsOm \| [1,8]withstepof1 \|	0
\| Dataset \| #trainingpoint \| #testingpoint \| #uniquetags \| Avg#tagsperdocument \| \| --- \| --- \| --- \| --- \| --- \| \| Wiki10 \| 14095 \| 6600 \| 31177 \| 17.27 \|	\| WikiNER \| 89521 \| 10000 \| 67179 \| 22.96 \| \| --- \| --- \| --- \| --- \| --- \| \| RelevanceModeling(Chinese) \| 4505 \| 500 \| 391 \| 1.02 \| \| RelevanceModeling(Korean) \| 1292 \| 500 \| 261 \| 1.07 \| \| NCT(all) \| 40305 \| 9546 \| 883 \| 1.88 \| \| NCT(general) \| 39401 \| 9389 \| 294 \| 1.76 \| \| NCT(speciﬁc) \| 17278 \| 4509 \| 412 \| 1.41 \|	1
\| Dataset \| #trainingpoint \| #testingpoint \| #uniquetags \| Avg#tagsperdocument \| \| --- \| --- \| --- \| --- \| --- \| \| Wiki10 \| 14095 \| 6600 \| 31177 \| 17.27 \|	\| Dataset \| t=0.5 \| t=0.6 \| t=0.7 \| t=0.8 \| t=0.9 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| AllPairs+BayesLSH \| \| \| \| \| \| \| RCV1 \| 97.97 \| 98.18 \| 98.47 \| 99.08 \| 99.36 \| \| WikiWords100K \| 98.52 \| 98.84 \| 99.2 \| 98.58 \| 96.69 \| \| WikiWords500K \| 97.54 \| 97.82 \| 98.21 \| 98.16 \| 96.66 \| \| WikiLinks \| 97.45 \| 98.04 \| 98.46 \| 98.68 \| 99.18 \| \| Orkut \| 97.1 \| 97.8 \| 98.86 \| 99.84 \| 99.99 \| \| Twitter \| 97.7 \| 96 \| 96.88 \| 97.33 \| 98.77 \| \| AllPairs+BayesLSH-Lite \| \| \| \| \| \| \| RCV1 \| 98.73 \| 98.82 \| 98.89 \| 99.26 \| 99.55 \| \| WikiWords100K \| 98.88 \| 99.31 \| 99.62 \| 99.69 \| 99.5 \| \| WikiWords500K \| 98.79 \| 98.72 \| 98.98 \| 98.74 \| 98.83 \| \| WikiLinks \| 98.53 \| 98.91 \| 99.16 \| 99.18 \| 99.45 \| \| Orkut \| 98.4 \| 98.64 \| 99.3 \| 99.87 \| 99.99 \| \| Twitter \| 99.44 \| 98.82 \| 97.17 \| 97.18 \| 99.06 \|	0
\| Dataset \| #trainingpoint \| #testingpoint \| #uniquetags \| Avg#tagsperdocument \| \| --- \| --- \| --- \| --- \| --- \| \| Wiki10 \| 14095 \| 6600 \| 31177 \| 17.27 \|	\| WikiNER \| 89521 \| 10000 \| 67179 \| 22.96 \| \| --- \| --- \| --- \| --- \| --- \| \| RelevanceModeling(Chinese) \| 4505 \| 500 \| 391 \| 1.02 \| \| RelevanceModeling(Korean) \| 1292 \| 500 \| 261 \| 1.07 \| \| NCT(all) \| 40305 \| 9546 \| 883 \| 1.88 \| \| NCT(general) \| 39401 \| 9389 \| 294 \| 1.76 \| \| NCT(speciﬁc) \| 17278 \| 4509 \| 412 \| 1.41 \|	1
\| Dataset \| #trainingpoint \| #testingpoint \| #uniquetags \| Avg#tagsperdocument \| \| --- \| --- \| --- \| --- \| --- \| \| Wiki10 \| 14095 \| 6600 \| 31177 \| 17.27 \|	\| WikiWords500K \| 97.54 \| 97.82 \| 98.21 \| 98.16 \| 96.66 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| WikiLinks \| 97.45 \| 98.04 \| 98.46 \| 98.68 \| 99.18 \| \| Orkut \| 97.1 \| 97.8 \| 98.86 \| 99.84 \| 99.99 \| \| Twitter \| 97.7 \| 96 \| 96.88 \| 97.33 \| 98.77 \| \| AllPairs+BayesLSH-Lite \| \| \| \| \| \| \| RCV1 \| 98.73 \| 98.82 \| 98.89 \| 99.26 \| 99.55 \| \| WikiWords100K \| 98.88 \| 99.31 \| 99.62 \| 99.69 \| 99.5 \| \| WikiWords500K \| 98.79 \| 98.72 \| 98.98 \| 98.74 \| 98.83 \| \| WikiLinks \| 98.53 \| 98.91 \| 99.16 \| 99.18 \| 99.45 \| \| Orkut \| 98.4 \| 98.64 \| 99.3 \| 99.87 \| 99.99 \| \| Twitter \| 99.44 \| 98.82 \| 97.17 \| 97.18 \| 99.06 \|	0
\| Methods \| Market-1501 \| VIPeR \| \| --- \| --- \| --- \| \| r=1mAP \| r=1r=20mAP \| \| \| BoW \| 9.043.26 \| 7.8239.3411.44 \| \| BoW+Geo \| 21.238.46 \| 15.4751.4919.85 \| \| BoW+Geo+Gauss \| 34.4014.09 \| 21.7460.8526.55 \| \| BoW+Geo+Gauss+MultiQavg \| 41.6617.63 \| --- \|	\| BoW+Geo+Gauss+MultiQmax \| 42.1418.53 \| --- \| \| --- \| --- \| --- \| \| BoW+Geo+Gauss+MultiQmax+Rerank \| 42.1419.20 \| --- \|	1
\| Methods \| Market-1501 \| VIPeR \| \| --- \| --- \| --- \| \| r=1mAP \| r=1r=20mAP \| \| \| BoW \| 9.043.26 \| 7.8239.3411.44 \| \| BoW+Geo \| 21.238.46 \| 15.4751.4919.85 \| \| BoW+Geo+Gauss \| 34.4014.09 \| 21.7460.8526.55 \| \| BoW+Geo+Gauss+MultiQavg \| 41.6617.63 \| --- \|	\| Methods \| r=1 \| r=5 \| r=20 \| \| --- \| --- \| --- \| --- \| \| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking \| 65.51<br>66.77<br>66.57<br>67.68 \| 81.72<br>82.68<br>82.88<br>82.17 \| 90.10<br>91.21<br>91.46<br>90.91 \| \| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking \| 64.95<br>65.15<br>66.36<br>67.17 \| 81.01<br>82.58<br>82.63<br>81.41 \| 89.90<br>90.56<br>91.67<br>90.25 \| \| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking \| 63.33<br>63.89<br>65.15<br>65.71 \| 80.51<br>80.81<br>81.67<br>80.51 \| 88.74<br>89.65<br>91.01<br>89.29 \| \| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking \| 60.81<br>61.92<br>61.81<br>63.59 \| 77.93<br>78.38<br>79.14<br>78.43 \| 87.88<br>88.28<br>88.69<br>88.18 \|	0
\| Methods \| Market-1501 \| VIPeR \| \| --- \| --- \| --- \| \| r=1mAP \| r=1r=20mAP \| \| \| BoW \| 9.043.26 \| 7.8239.3411.44 \| \| BoW+Geo \| 21.238.46 \| 15.4751.4919.85 \|	\| BoW+Geo+Gauss \| 34.4014.09 \| 21.7460.8526.55 \| \| --- \| --- \| --- \| \| BoW+Geo+Gauss+MultiQavg \| 41.6617.63 \| --- \| \| BoW+Geo+Gauss+MultiQmax \| 42.1418.53 \| --- \| \| BoW+Geo+Gauss+MultiQmax+Rerank \| 42.1419.20 \| --- \|	1
\| Methods \| Market-1501 \| VIPeR \| \| --- \| --- \| --- \| \| r=1mAP \| r=1r=20mAP \| \| \| BoW \| 9.043.26 \| 7.8239.3411.44 \| \| BoW+Geo \| 21.238.46 \| 15.4751.4919.85 \|	\| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking \| 64.95<br>65.15<br>66.36<br>67.17 \| 81.01<br>82.58<br>82.63<br>81.41 \| 89.90<br>90.56<br>91.67<br>90.25 \| \| --- \| --- \| --- \| --- \| \| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking \| 63.33<br>63.89<br>65.15<br>65.71 \| 80.51<br>80.81<br>81.67<br>80.51 \| 88.74<br>89.65<br>91.01<br>89.29 \| \| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking \| 60.81<br>61.92<br>61.81<br>63.59 \| 77.93<br>78.38<br>79.14<br>78.43 \| 87.88<br>88.28<br>88.69<br>88.18 \|	0
\| Type/Stride \| FilterShape \| InputSize \| \| --- \| --- \| --- \| \| Conv/s2 \| 3×3×1×32 \| 96×96×1 \| \| Convdw/s1 \| 3×3×32dw \| 48×48×32 \| \| Conv/s1 \| 1×1×32×64 \| 48×48×32 \| \| Convdw/s2 \| 3×3×64dw \| 48×48×64 \| \| Conv/s1 \| 1×1×64×128 \| 24×24×64 \| \| Convdw/s1 \| 3×3×128dw \| 56×24×128 \| \| Conv/s1 \| 1×1×128×128 \| 24×24×128 \| \| Convdw/s2 \| 3×3×128dw \| 24×24×128 \| \| Conv/s1 \| 1×1×128×256 \| 12×12×128 \| \| Convdw/s1 \| 3×3×256dw \| 12×12×256 \| \| Conv/s1 \| 1×1×256×256 \| 12×12×256 \| \| Convdw/s2 \| 3×3×256dw \| 12×12×256 \| \| Conv/s1 \| 1×1×256×512 \| 6×6×256 \| \| 5×Convdw/s1 \| 3×3×512dw \| 6×6×512 \| \| Conv/s1 \| 1×1×512×512 \| 6×6×512 \| \| Convdw/s2 \| 3×3×512dw \| 6×6×512 \|	\| AvgPool/s1 \| Pool6×6 \| 6×6×512 \| \| --- \| --- \| --- \| \| FC/s1 \| 512×l \| 1×1×512 \| \| FC/s1 \| l×c \| 1×1×l \| \| Softmax/s1 \| Classiﬁer \| 1×1×c \|	1
\| Type/Stride \| FilterShape \| InputSize \| \| --- \| --- \| --- \| \| Conv/s2 \| 3×3×1×32 \| 96×96×1 \| \| Convdw/s1 \| 3×3×32dw \| 48×48×32 \| \| Conv/s1 \| 1×1×32×64 \| 48×48×32 \| \| Convdw/s2 \| 3×3×64dw \| 48×48×64 \| \| Conv/s1 \| 1×1×64×128 \| 24×24×64 \| \| Convdw/s1 \| 3×3×128dw \| 56×24×128 \| \| Conv/s1 \| 1×1×128×128 \| 24×24×128 \| \| Convdw/s2 \| 3×3×128dw \| 24×24×128 \| \| Conv/s1 \| 1×1×128×256 \| 12×12×128 \| \| Convdw/s1 \| 3×3×256dw \| 12×12×256 \| \| Conv/s1 \| 1×1×256×256 \| 12×12×256 \| \| Convdw/s2 \| 3×3×256dw \| 12×12×256 \| \| Conv/s1 \| 1×1×256×512 \| 6×6×256 \| \| 5×Convdw/s1 \| 3×3×512dw \| 6×6×512 \| \| Conv/s1 \| 1×1×512×512 \| 6×6×512 \| \| Convdw/s2 \| 3×3×512dw \| 6×6×512 \|	\| Name \| Kernel \| OutputSize \| Name \| Kernel \| OutputSize \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| conv1,2 \| 3×3 \| 320×448×64 \| deconv5 \| 2×2 \| 40×56×256 \| \| pool1 \| 2×2 \| 160×224×64 \| reﬁne-1convs \| 3×3 \| 40×56×256 \| \| conv3,4 \| 3×3 \| 160×224×128 \| deconv4 \| 2×2 \| 80×112×128 \| \| pool2 \| 2×2 \| 80×112×128 \| reﬁne-2convs \| 3×3 \| 80×112×128 \| \| conv5,6,1-2 \| 3×3 \| 80×112×256 \| deconv3 \| 2×2 \| 160×224×64 \| \| pool3 \| 2×2 \| 40×56×256 \| reﬁne-3convs \| 3×3 \| 160×224×64 \| \| conv7,8,1-2 \| 3×3 \| 40×56×512 \| deconv2 \| 2×2 \| 320×448×32 \| \| pool4 \| 2×2 \| 20×28×512 \| reﬁne-4convs \| 3×3 \| 320×448×32 \|	0
\| Type/Stride \| FilterShape \| InputSize \| \| --- \| --- \| --- \| \| Conv/s2 \| 3×3×1×32 \| 96×96×1 \| \| Convdw/s1 \| 3×3×32dw \| 48×48×32 \| \| Conv/s1 \| 1×1×32×64 \| 48×48×32 \| \| Convdw/s2 \| 3×3×64dw \| 48×48×64 \| \| Conv/s1 \| 1×1×64×128 \| 24×24×64 \| \| Convdw/s1 \| 3×3×128dw \| 56×24×128 \| \| Conv/s1 \| 1×1×128×128 \| 24×24×128 \| \| Convdw/s2 \| 3×3×128dw \| 24×24×128 \| \| Conv/s1 \| 1×1×128×256 \| 12×12×128 \| \| Convdw/s1 \| 3×3×256dw \| 12×12×256 \| \| Conv/s1 \| 1×1×256×256 \| 12×12×256 \| \| Convdw/s2 \| 3×3×256dw \| 12×12×256 \| \| Conv/s1 \| 1×1×256×512 \| 6×6×256 \| \| 5×Convdw/s1 \| 3×3×512dw \| 6×6×512 \|	\| Conv/s1 \| 1×1×512×512 \| 6×6×512 \| \| --- \| --- \| --- \| \| Convdw/s2 \| 3×3×512dw \| 6×6×512 \| \| AvgPool/s1 \| Pool6×6 \| 6×6×512 \| \| FC/s1 \| 512×l \| 1×1×512 \| \| FC/s1 \| l×c \| 1×1×l \| \| Softmax/s1 \| Classiﬁer \| 1×1×c \|	1
\| Type/Stride \| FilterShape \| InputSize \| \| --- \| --- \| --- \| \| Conv/s2 \| 3×3×1×32 \| 96×96×1 \| \| Convdw/s1 \| 3×3×32dw \| 48×48×32 \| \| Conv/s1 \| 1×1×32×64 \| 48×48×32 \| \| Convdw/s2 \| 3×3×64dw \| 48×48×64 \| \| Conv/s1 \| 1×1×64×128 \| 24×24×64 \| \| Convdw/s1 \| 3×3×128dw \| 56×24×128 \| \| Conv/s1 \| 1×1×128×128 \| 24×24×128 \| \| Convdw/s2 \| 3×3×128dw \| 24×24×128 \| \| Conv/s1 \| 1×1×128×256 \| 12×12×128 \| \| Convdw/s1 \| 3×3×256dw \| 12×12×256 \| \| Conv/s1 \| 1×1×256×256 \| 12×12×256 \| \| Convdw/s2 \| 3×3×256dw \| 12×12×256 \| \| Conv/s1 \| 1×1×256×512 \| 6×6×256 \| \| 5×Convdw/s1 \| 3×3×512dw \| 6×6×512 \|	\| conv3,4 \| 3×3 \| 160×224×128 \| deconv4 \| 2×2 \| 80×112×128 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| pool2 \| 2×2 \| 80×112×128 \| reﬁne-2convs \| 3×3 \| 80×112×128 \| \| conv5,6,1-2 \| 3×3 \| 80×112×256 \| deconv3 \| 2×2 \| 160×224×64 \| \| pool3 \| 2×2 \| 40×56×256 \| reﬁne-3convs \| 3×3 \| 160×224×64 \| \| conv7,8,1-2 \| 3×3 \| 40×56×512 \| deconv2 \| 2×2 \| 320×448×32 \| \| pool4 \| 2×2 \| 20×28×512 \| reﬁne-4convs \| 3×3 \| 320×448×32 \|	0

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premise string	hypothesis string	label int64
\| Time-scalefactor \| TD-PSOLA \| LP-PSOLA \| WSOLA \| SOLAFS \| ESOLA \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| 0.5 \| 74.16 \| 74.15 \| 1.83 \| 1.73 \| 0.65 \| \| 0.75 \| 74.25 \| 74.19 \| 3.22 \| 2.58 \| 0.66 \|	\| 1.25 \| 74.32 \| 74.30 \| 2.71 \| 4.30 \| 0.69 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| 1.5 \| 74.38 \| 74.35 \| 2.37 \| 5.13 \| 0.70 \| \| 2 \| 74.41 \| 74.45 \| 4.59 \| 6.89 \| 0.91 \|	1
\| Time-scalefactor \| TD-PSOLA \| LP-PSOLA \| WSOLA \| SOLAFS \| ESOLA \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| 0.5 \| 74.16 \| 74.15 \| 1.83 \| 1.73 \| 0.65 \| \| 0.75 \| 74.25 \| 74.19 \| 3.22 \| 2.58 \| 0.66 \|	\| Comp. \| Parts \| AP \| Time \| \| --- \| --- \| --- \| --- \| \| 1 \| 0 \| 52.3 \| 2.27 \| \| 1 \| 4 \| 63.2 \| 3.48 \| \| 1 \| 8 \| 64.2 \| 4.84 \| \| 3 \| 0 \| 62.9 \| 6.48 \| \| 3 \| 4 \| 66.7 \| 12.20 \| \| 3 \| 8 \| 68.4 \| 16.47 \| \| 5 \| 0 \| 64.8 \| 10.25 \| \| 5 \| 4 \| 67.3 \| 16.33 \| \| 5 \| 8 \| 68.7 \| 22.07 \| \| 6 \| 0 \| 65.2 \| 10.48 \| \| 8 \| 0 \| 66.0 \| 11.17 \|	0
\| Time-scalefactor \| TD-PSOLA \| LP-PSOLA \| WSOLA \| SOLAFS \| ESOLA \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| 0.5 \| 74.16 \| 74.15 \| 1.83 \| 1.73 \| 0.65 \|	\| 0.75 \| 74.25 \| 74.19 \| 3.22 \| 2.58 \| 0.66 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| 1.25 \| 74.32 \| 74.30 \| 2.71 \| 4.30 \| 0.69 \| \| 1.5 \| 74.38 \| 74.35 \| 2.37 \| 5.13 \| 0.70 \| \| 2 \| 74.41 \| 74.45 \| 4.59 \| 6.89 \| 0.91 \|	1
\| Time-scalefactor \| TD-PSOLA \| LP-PSOLA \| WSOLA \| SOLAFS \| ESOLA \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| 0.5 \| 74.16 \| 74.15 \| 1.83 \| 1.73 \| 0.65 \|	\| 5 \| 4 \| 67.3 \| 16.33 \| \| --- \| --- \| --- \| --- \| \| 5 \| 8 \| 68.7 \| 22.07 \| \| 6 \| 0 \| 65.2 \| 10.48 \| \| 8 \| 0 \| 66.0 \| 11.17 \|	0
\| N-genusoff \| Numberoff \| \| --- \| --- \| \| 1 \| 8 \|	\| 2 \| 1736 \| \| --- \| --- \| \| 3 \| 30240 \| \| 4 \| 109200 \| \| 5 \| 100800 \| \| 6 \| 15420 \|	1
\| N-genusoff \| Numberoff \| \| --- \| --- \| \| 1 \| 8 \|	\| n \| SizeofAn \| n \| SizeofAn \| \| --- \| --- \| --- \| --- \| \| 0 \| 16 \| 8 \| 3463008 \| \| 1 \| 240 \| 9 \| 2835240 \| \| 2 \| 1840 \| 10 \| 1337520 \| \| 3 \| 17776 \| 11 \| 855576 \| \| 4 \| 74952 \| 12 \| 170592 \| \| 5 \| 223992 \| 13 \| 72216 \| \| 6 \| 360540 \| 14 \| 42456 \| \| 7 \| 1110864 \| 15 \| 23424 \|	0
\| N-genusoff \| Numberoff \| \| --- \| --- \| \| 1 \| 8 \| \| 2 \| 1736 \|	\| 3 \| 30240 \| \| --- \| --- \| \| 4 \| 109200 \| \| 5 \| 100800 \| \| 6 \| 15420 \|	1
\| N-genusoff \| Numberoff \| \| --- \| --- \| \| 1 \| 8 \| \| 2 \| 1736 \|	\| 4 \| 74952 \| 12 \| 170592 \| \| --- \| --- \| --- \| --- \| \| 5 \| 223992 \| 13 \| 72216 \| \| 6 \| 360540 \| 14 \| 42456 \| \| 7 \| 1110864 \| 15 \| 23424 \|	0
\| \| \| TestSearchTechnique \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| \| \| GA \| Random \| \| \| \| \| Cmplx \| Stmt \| Mean \| Stdev \| Mean \| Stdev \| ActualCL \| \| Low \| 75 \| 95.87 \| 12.13 \| 93.87 \| 13.95 \| 44.42 \|	\| Medium \| 150 \| 96.12 \| 8.74 \| 94.73 \| 8.98 \| 45.41 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| High \| 300 \| 95.39 \| 5.63 \| 94.13 \| 6.16 \| 58.84 \|	1
\| \| \| TestSearchTechnique \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| \| \| GA \| Random \| \| \| \| \| Cmplx \| Stmt \| Mean \| Stdev \| Mean \| Stdev \| ActualCL \| \| Low \| 75 \| 95.87 \| 12.13 \| 93.87 \| 13.95 \| 44.42 \|	\| \| \| TestSearchTechnique \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| \| \| GA \| Random \| \| \| \| \| Cmplx \| Branch \| Mean \| Stdev \| Mean \| Stdev \| ActualCL \| \| Low \| 25 \| 87.27 \| 6.98 \| 82.4 \| 7.62 \| 98.76 \| \| Medium \| 50 \| 79.33 \| 6.99 \| 75 \| 5.82 \| 98.84 \| \| High \| 100 \| 76.57 \| 8.25 \| 73 \| 5.76 \| 94.32 \|	0
\| \| \| TestSearchTechnique \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| \| \| GA \| Random \| \| \| \| \| Cmplx \| Stmt \| Mean \| Stdev \| Mean \| Stdev \| ActualCL \|	\| Low \| 75 \| 95.87 \| 12.13 \| 93.87 \| 13.95 \| 44.42 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Medium \| 150 \| 96.12 \| 8.74 \| 94.73 \| 8.98 \| 45.41 \| \| High \| 300 \| 95.39 \| 5.63 \| 94.13 \| 6.16 \| 58.84 \|	1
\| \| \| TestSearchTechnique \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| \| \| GA \| Random \| \| \| \| \| Cmplx \| Stmt \| Mean \| Stdev \| Mean \| Stdev \| ActualCL \|	\| Low \| 25 \| 87.27 \| 6.98 \| 82.4 \| 7.62 \| 98.76 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Medium \| 50 \| 79.33 \| 6.99 \| 75 \| 5.82 \| 98.84 \| \| High \| 100 \| 76.57 \| 8.25 \| 73 \| 5.76 \| 94.32 \|	0
\| Method \| top-1 \| top-5 \| top-10 \| \| --- \| --- \| --- \| --- \| \| Ours-cls \| 75.90 \| 94.55 \| 97.85 \| \| Ours-L2 \| 74.70 \| 93.52 \| 96.45 \| \| Ours-L3 \| 76.55 \| 93.70 \| 96.85 \|	\| Ours-L4 \| 79.15 \| 94.45 \| 97.80 \| \| --- \| --- \| --- \| --- \| \| Ours-(L2,L3) \| 79.45 \| 94.70 \| 97.90 \| \| Ours-(L2,L3,L4) \| 86.45 \| 97.50 \| 99.10 \|	1
\| Method \| top-1 \| top-5 \| top-10 \| \| --- \| --- \| --- \| --- \| \| Ours-cls \| 75.90 \| 94.55 \| 97.85 \| \| Ours-L2 \| 74.70 \| 93.52 \| 96.45 \| \| Ours-L3 \| 76.55 \| 93.70 \| 96.85 \|	\| Method \| h=4 \| h=5 \| h=6 \| h=7 \| \| --- \| --- \| --- \| --- \| --- \| \| HierarchyCompletion \| \| \| \| \| \| Fu2014 \| 0.66 \| 0.42 \| 0.26 \| 0.21 \| \| Ours(L) \| 0.70 \| 0.49 \| 0.45 \| 0.37 \| \| Ours(LV) \| 0.73 \| 0.51 \| 0.50 \| 0.42 \| \| HierarchyConstruction \| \| \| \| \| \| Fu2014 \| 0.53 \| 0.33 \| 0.28 \| 0.18 \| \| Bansal2014 \| 0.67 \| 0.53 \| 0.43 \| 0.37 \| \| Ours(L) \| 0.58 \| 0.41 \| 0.36 \| 0.30 \| \| Ours(LB) \| 0.68 \| 0.55 \| 0.45 \| 0.40 \| \| Ours(LV) \| 0.66 \| 0.52 \| 0.42 \| 0.34 \| \| Ours(LVB-E) \| 0.68 \| 0.55 \| 0.44 \| 0.39 \| \| Ours(LVB) \| 0.70 \| 0.57 \| 0.49 \| 0.43 \|	0
\| Method \| top-1 \| top-5 \| top-10 \| \| --- \| --- \| --- \| --- \| \| Ours-cls \| 75.90 \| 94.55 \| 97.85 \| \| Ours-L2 \| 74.70 \| 93.52 \| 96.45 \| \| Ours-L3 \| 76.55 \| 93.70 \| 96.85 \| \| Ours-L4 \| 79.15 \| 94.45 \| 97.80 \|	\| Ours-(L2,L3) \| 79.45 \| 94.70 \| 97.90 \| \| --- \| --- \| --- \| --- \| \| Ours-(L2,L3,L4) \| 86.45 \| 97.50 \| 99.10 \|	1
\| Method \| top-1 \| top-5 \| top-10 \| \| --- \| --- \| --- \| --- \| \| Ours-cls \| 75.90 \| 94.55 \| 97.85 \| \| Ours-L2 \| 74.70 \| 93.52 \| 96.45 \| \| Ours-L3 \| 76.55 \| 93.70 \| 96.85 \| \| Ours-L4 \| 79.15 \| 94.45 \| 97.80 \|	\| Bansal2014 \| 0.67 \| 0.53 \| 0.43 \| 0.37 \| \| --- \| --- \| --- \| --- \| --- \| \| Ours(L) \| 0.58 \| 0.41 \| 0.36 \| 0.30 \| \| Ours(LB) \| 0.68 \| 0.55 \| 0.45 \| 0.40 \| \| Ours(LV) \| 0.66 \| 0.52 \| 0.42 \| 0.34 \| \| Ours(LVB-E) \| 0.68 \| 0.55 \| 0.44 \| 0.39 \| \| Ours(LVB) \| 0.70 \| 0.57 \| 0.49 \| 0.43 \|	0
\| Distance(m) \| Time(sec) \| \| --- \| --- \| \| 0.0 \| 0 \| \| 4.9 \| 1 \| \| 19.6 \| 2 \| \| 44.1 \| 3 \| \| 78.5 \| 4 \| \| 122.6 \| 5 \| \| 176.5 \| 6 \| \| 240.3 \| 7 \| \| 313.8 \| 8 \| \| 397.2 \| 9 \| \| 490.3 \| 10 \| \| 593.3 \| 11 \| \| 706.1 \| 12 \| \| 828.7 \| 13 \| \| 961.1 \| 14 \| \| 1103.2 \| 15 \|	\| 1255.3 \| 16 \| \| --- \| --- \| \| Etc \| Etc \|	1
\| Distance(m) \| Time(sec) \| \| --- \| --- \| \| 0.0 \| 0 \| \| 4.9 \| 1 \| \| 19.6 \| 2 \| \| 44.1 \| 3 \| \| 78.5 \| 4 \| \| 122.6 \| 5 \| \| 176.5 \| 6 \| \| 240.3 \| 7 \| \| 313.8 \| 8 \| \| 397.2 \| 9 \| \| 490.3 \| 10 \| \| 593.3 \| 11 \| \| 706.1 \| 12 \| \| 828.7 \| 13 \| \| 961.1 \| 14 \| \| 1103.2 \| 15 \|	\| M \| RunningTime(sec) \| M \| RunningTime(sec) \| \| --- \| --- \| --- \| --- \| \| 1 \| −2<br>1.10×10 \| 40 \| −1<br>3.74×10 \| \| 2 \| 2.04×10 \| 50 \| 4.61×10 \| \| 4 \| 3.51×10 \| 80 \| 7.46×10 \| \| 5 \| 5.01×10 \| 100 \| 9.32×10 \| \| 8 \| 8.24×10 \| 200 \| 1.81 \| \| 10 \| 9.02×10 \| 250 \| 2.41 \| \| 16 \| 1.60×10 \| 400 \| 3.90 \| \| 20 \| 1.84×10 \| 500 \| 5.14 \| \| 25 \| 2.38×10 \| 1,000 \| 11.31 \|	0
\| Distance(m) \| Time(sec) \| \| --- \| --- \| \| 0.0 \| 0 \| \| 4.9 \| 1 \| \| 19.6 \| 2 \| \| 44.1 \| 3 \| \| 78.5 \| 4 \| \| 122.6 \| 5 \| \| 176.5 \| 6 \| \| 240.3 \| 7 \| \| 313.8 \| 8 \| \| 397.2 \| 9 \| \| 490.3 \| 10 \| \| 593.3 \| 11 \| \| 706.1 \| 12 \|	\| 828.7 \| 13 \| \| --- \| --- \| \| 961.1 \| 14 \| \| 1103.2 \| 15 \| \| 1255.3 \| 16 \| \| Etc \| Etc \|	1
\| Distance(m) \| Time(sec) \| \| --- \| --- \| \| 0.0 \| 0 \| \| 4.9 \| 1 \| \| 19.6 \| 2 \| \| 44.1 \| 3 \| \| 78.5 \| 4 \| \| 122.6 \| 5 \| \| 176.5 \| 6 \| \| 240.3 \| 7 \| \| 313.8 \| 8 \| \| 397.2 \| 9 \| \| 490.3 \| 10 \| \| 593.3 \| 11 \| \| 706.1 \| 12 \|	\| 8 \| 8.24×10 \| 200 \| 1.81 \| \| --- \| --- \| --- \| --- \| \| 10 \| 9.02×10 \| 250 \| 2.41 \| \| 16 \| 1.60×10 \| 400 \| 3.90 \| \| 20 \| 1.84×10 \| 500 \| 5.14 \| \| 25 \| 2.38×10 \| 1,000 \| 11.31 \|	0
\| α \| PerfFTCost \| \| --- \| --- \| \| 2 \| .469.793.034 \| \| 16 \| .479.797.035 \| \| 64 \| .489.822.035 \|	\| 2 \| .471.782.035 \| \| --- \| --- \| \| 16 \| .487.956.042 \| \| 64 \| .548.998.054 \|	1
\| α \| PerfFTCost \| \| --- \| --- \| \| 2 \| .469.793.034 \| \| 16 \| .479.797.035 \| \| 64 \| .489.822.035 \|	\| K \| αd \| αf \| αs \| αo \| αM \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| 2 \| 1.5 \| − \| 1.5 \| − \| 2.8 \| \| 3 \| 4.16 \| − \| 4.55 \| − \| 5.83 \| \| 4 \| 8.4 \| − \| 10.15 \| − \| 11.56 \| \| 5 \| 16.2 \| 20.3 \| 21.26 \| 20.7 \| 22.8 \| \| 6 \| 30.5 \| 38.5 \| 43.41 \| 42.95 \| 45 \| \| 7 \| 57.28 \| 72.1 \| 87.84 \| 87.35 \| 89.42 \| \| 8 \| 107.13 \| 134.2 \| 176.57 \| 176.06 \| 178.1 \|	0
\| α \| PerfFTCost \| \| --- \| --- \| \| 2 \| .469.793.034 \| \| 16 \| .479.797.035 \|	\| 64 \| .489.822.035 \| \| --- \| --- \| \| 2 \| .471.782.035 \| \| 16 \| .487.956.042 \| \| 64 \| .548.998.054 \|	1
\| α \| PerfFTCost \| \| --- \| --- \| \| 2 \| .469.793.034 \| \| 16 \| .479.797.035 \|	\| 6 \| 30.5 \| 38.5 \| 43.41 \| 42.95 \| 45 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| 7 \| 57.28 \| 72.1 \| 87.84 \| 87.35 \| 89.42 \| \| 8 \| 107.13 \| 134.2 \| 176.57 \| 176.06 \| 178.1 \|	0
\| Method \| AVG-<br>AUC \| M-<br>AUC \| SK-<br>AUC \| M-<br>SP82 \| M-<br>SP89 \| M-<br>SP95 \| M-<br>SENS \| M-<br>SPEC \| SK-<br>SENS \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| [24]TopAVG \| 0.911 \| 0.868 \| 0.953 \| 0.729 \| 0.588 \| 0.366 \| 0.735 \| 0.851 \| 0.978 \|	\| [25]TopSK \| 0.910 \| 0.856 \| 0.965 \| 0.727 \| 0.555 \| 0.404 \| 0.103 \| 0.998 \| 0.178 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| [26]TopM \| 0.908 \| 0.874 \| 0.943 \| 0.747 \| 0.590 \| 0.395 \| 0.547 \| 0.950 \| 0.356 \| \| AVGSC \| 0.913 \| 0.872 \| 0.954 \| 0.778 \| 0.605 \| 0.435 \| 0.214 \| 0.988 \| 0.600 \| \| L-SVM \| 0.926 \| 0.892 \| 0.960 \| 0.834 \| 0.692 \| 0.571 \| 0.718 \| 0.901 \| 0.878 \| \| NL-SVM \| 0.904 \| 0.853 \| 0.955 \| 0.801 \| 0.449 \| 0.168 \| 0.675 \| 0.909 \| 0.889 \|	1
\| Method \| AVG-<br>AUC \| M-<br>AUC \| SK-<br>AUC \| M-<br>SP82 \| M-<br>SP89 \| M-<br>SP95 \| M-<br>SENS \| M-<br>SPEC \| SK-<br>SENS \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| [24]TopAVG \| 0.911 \| 0.868 \| 0.953 \| 0.729 \| 0.588 \| 0.366 \| 0.735 \| 0.851 \| 0.978 \|	\| Method \| Top1 \| Top2 \| Top5 \| Top10 \| \| --- \| --- \| --- \| --- \| --- \| \| Tebessa-C* \| 93.1 \| 97.0 \| 99.5 \| 99.5 \| \| Delta-nHinge \| 93.4 \| NA \| NA \| 98.4 \| \| CS-UMD-a* \| 95.1 \| 97.7 \| 98.6 \| 99.1 \| \| MultiFeature* \| 99.2 \| 99.6 \| 99.8 \| 99.8 \| \| SRS-LBPl1out8,4 \| 96.6 \| 98.0 \| 99.6 \| 99.8 \| \| SRS-LBPmetric* \| 96.6 \| 97.8 \| 98.8 \| 99.4 \| \| SRS-LBPl1out \| 98.4 \| 99.2 \| 99.4 \| 99.8 \|	0
\| Method \| AVG-<br>AUC \| M-<br>AUC \| SK-<br>AUC \| M-<br>SP82 \| M-<br>SP89 \| M-<br>SP95 \| M-<br>SENS \| M-<br>SPEC \| SK-<br>SENS \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| [24]TopAVG \| 0.911 \| 0.868 \| 0.953 \| 0.729 \| 0.588 \| 0.366 \| 0.735 \| 0.851 \| 0.978 \|	\| [25]TopSK \| 0.910 \| 0.856 \| 0.965 \| 0.727 \| 0.555 \| 0.404 \| 0.103 \| 0.998 \| 0.178 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| [26]TopM \| 0.908 \| 0.874 \| 0.943 \| 0.747 \| 0.590 \| 0.395 \| 0.547 \| 0.950 \| 0.356 \| \| AVGSC \| 0.913 \| 0.872 \| 0.954 \| 0.778 \| 0.605 \| 0.435 \| 0.214 \| 0.988 \| 0.600 \| \| L-SVM \| 0.926 \| 0.892 \| 0.960 \| 0.834 \| 0.692 \| 0.571 \| 0.718 \| 0.901 \| 0.878 \| \| NL-SVM \| 0.904 \| 0.853 \| 0.955 \| 0.801 \| 0.449 \| 0.168 \| 0.675 \| 0.909 \| 0.889 \|	1
\| Method \| AVG-<br>AUC \| M-<br>AUC \| SK-<br>AUC \| M-<br>SP82 \| M-<br>SP89 \| M-<br>SP95 \| M-<br>SENS \| M-<br>SPEC \| SK-<br>SENS \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| [24]TopAVG \| 0.911 \| 0.868 \| 0.953 \| 0.729 \| 0.588 \| 0.366 \| 0.735 \| 0.851 \| 0.978 \|	\| MultiFeature* \| 99.2 \| 99.6 \| 99.8 \| 99.8 \| \| --- \| --- \| --- \| --- \| --- \| \| SRS-LBPl1out8,4 \| 96.6 \| 98.0 \| 99.6 \| 99.8 \| \| SRS-LBPmetric* \| 96.6 \| 97.8 \| 98.8 \| 99.4 \| \| SRS-LBPl1out \| 98.4 \| 99.2 \| 99.4 \| 99.8 \|	0
\| \| BMCNN-DnCNN \| BMCNN-BM3D \| \| --- \| --- \| --- \| \| Cameraman \| 30.20 \| 30.03 \| \| Lena \| 32.53 \| 32.49 \| \| Barbara \| 30.58 \| 31.23 \| \| Boat \| 30.25 \| 30.16 \| \| Couple \| 30.12 \| 30.02 \| \| Fingerprint \| 28.02 \| 28.06 \| \| Hill \| 30.00 \| 30.05 \| \| House \| 33.32 \| 33.43 \|	\| Jetplane \| 32.17 \| 32.14 \| \| --- \| --- \| --- \| \| Man \| 30.06 \| 29.94 \| \| Montage \| 33.47 \| 33.31 \| \| Peppers \| 30.93 \| 30.78 \| \| Average \| 30.97 \| 30.97 \|	1
\| \| BMCNN-DnCNN \| BMCNN-BM3D \| \| --- \| --- \| --- \| \| Cameraman \| 30.20 \| 30.03 \| \| Lena \| 32.53 \| 32.49 \| \| Barbara \| 30.58 \| 31.23 \| \| Boat \| 30.25 \| 30.16 \| \| Couple \| 30.12 \| 30.02 \| \| Fingerprint \| 28.02 \| 28.06 \| \| Hill \| 30.00 \| 30.05 \| \| House \| 33.32 \| 33.43 \|	\| \| BMCNN \| woBMCNN \| DnCNN \| \| --- \| --- \| --- \| --- \| \| Cameraman \| 30.20 \| 30.08 \| 30.11 \| \| Lena \| 32.53 \| 32.45 \| 32.48 \| \| Barbara \| 30.58 \| 29.91 \| 29.94 \| \| Boat \| 30.25 \| 30.17 \| 30.21 \| \| Couple \| 30.12 \| 30.09 \| 30.10 \| \| Fingerprint \| 28.01 \| 27.61 \| 27.64 \| \| Hill \| 30.00 \| 29.96 \| 29.99 \| \| House \| 33.32 \| 33.20 \| 33.23 \| \| Jetplane \| 32.17 \| 32.02 \| 32.06 \| \| Man \| 30.06 \| 30.04 \| 30.06 \| \| Montage \| 33.47 \| 33.02 \| 32.97 \| \| Peppers \| 30.93 \| 30.81 \| 30.80 \| \| Average \| 30.97 \| 30.78 \| 30.80 \|	0
\| \| BMCNN-DnCNN \| BMCNN-BM3D \| \| --- \| --- \| --- \| \| Cameraman \| 30.20 \| 30.03 \| \| Lena \| 32.53 \| 32.49 \| \| Barbara \| 30.58 \| 31.23 \| \| Boat \| 30.25 \| 30.16 \| \| Couple \| 30.12 \| 30.02 \| \| Fingerprint \| 28.02 \| 28.06 \| \| Hill \| 30.00 \| 30.05 \| \| House \| 33.32 \| 33.43 \|	\| Jetplane \| 32.17 \| 32.14 \| \| --- \| --- \| --- \| \| Man \| 30.06 \| 29.94 \| \| Montage \| 33.47 \| 33.31 \| \| Peppers \| 30.93 \| 30.78 \| \| Average \| 30.97 \| 30.97 \|	1
\| \| BMCNN-DnCNN \| BMCNN-BM3D \| \| --- \| --- \| --- \| \| Cameraman \| 30.20 \| 30.03 \| \| Lena \| 32.53 \| 32.49 \| \| Barbara \| 30.58 \| 31.23 \| \| Boat \| 30.25 \| 30.16 \| \| Couple \| 30.12 \| 30.02 \| \| Fingerprint \| 28.02 \| 28.06 \| \| Hill \| 30.00 \| 30.05 \| \| House \| 33.32 \| 33.43 \|	\| Couple \| 30.12 \| 30.09 \| 30.10 \| \| --- \| --- \| --- \| --- \| \| Fingerprint \| 28.01 \| 27.61 \| 27.64 \| \| Hill \| 30.00 \| 29.96 \| 29.99 \| \| House \| 33.32 \| 33.20 \| 33.23 \| \| Jetplane \| 32.17 \| 32.02 \| 32.06 \| \| Man \| 30.06 \| 30.04 \| 30.06 \| \| Montage \| 33.47 \| 33.02 \| 32.97 \| \| Peppers \| 30.93 \| 30.81 \| 30.80 \| \| Average \| 30.97 \| 30.78 \| 30.80 \|	0
\| Singingvoice \| \| \| \| \| --- \| --- \| --- \| --- \| \| Method \| GNSDR \| GSIR \| GSAR \| \| MLRR<br>DRNN<br>ModGD<br>U-Net \| 3.85<br>7.45<br>7.50<br>7.43 \| 5.63<br>13.08<br>13.73<br>11.79 \| 10.70<br>9.68<br>9.45<br>10.42 \|	\| SH-1stack<br>SH-2stack<br>SH-4stack \| 10.29<br>10.45<br>10.51 \| 15.51<br>15.89<br>16.01 \| 12.46<br>12.49<br>12.53 \| \| --- \| --- \| --- \| --- \| \| Accompaniments \| \| \| \| \| Method \| GNSDR \| GSIR \| GSAR \| \| MLRR<br>U-Net \| 4.19<br>7.45 \| 7.80<br>11.43 \| 8.22<br>10.41 \| \| SH-1stack<br>SH-2stack<br>SH-4stack \| 9.65<br>9.64<br>9.88 \| 13.90<br>13.69<br>14.24 \| 12.27<br>12.39<br>12.36 \|	1
\| Singingvoice \| \| \| \| \| --- \| --- \| --- \| --- \| \| Method \| GNSDR \| GSIR \| GSAR \| \| MLRR<br>DRNN<br>ModGD<br>U-Net \| 3.85<br>7.45<br>7.50<br>7.43 \| 5.63<br>13.08<br>13.73<br>11.79 \| 10.70<br>9.68<br>9.45<br>10.42 \|	\| \| MusicalEnsembleGroup \| NoMusicalEnsembleGroup \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| \| Human-like \| Harmony \| Melody \| Human-like \| Harmony \| Melody \| \| OdetoJoy<br>-Layered<br>HMM \| 3.125 \| 3.250 \| 3.125 \| 3.8 \| 4.0 \| 3.8 \| \| WeThree<br>Kings-<br>Layered<br>HMM \| 3.500 \| 3.125 \| 3.125 \| 2.4 \| 1.8 \| 2.2 \| \| Pachelbel’s<br>Canon-<br>TVAR(11) \| 3.438 \| 3.375 \| 3.063 \| 3.5 \| 3.6 \| 3.2 \|	0
\| Singingvoice \| \| \| \| \| --- \| --- \| --- \| --- \| \| Method \| GNSDR \| GSIR \| GSAR \|	\| MLRR<br>DRNN<br>ModGD<br>U-Net \| 3.85<br>7.45<br>7.50<br>7.43 \| 5.63<br>13.08<br>13.73<br>11.79 \| 10.70<br>9.68<br>9.45<br>10.42 \| \| --- \| --- \| --- \| --- \| \| SH-1stack<br>SH-2stack<br>SH-4stack \| 10.29<br>10.45<br>10.51 \| 15.51<br>15.89<br>16.01 \| 12.46<br>12.49<br>12.53 \| \| Accompaniments \| \| \| \| \| Method \| GNSDR \| GSIR \| GSAR \| \| MLRR<br>U-Net \| 4.19<br>7.45 \| 7.80<br>11.43 \| 8.22<br>10.41 \| \| SH-1stack<br>SH-2stack<br>SH-4stack \| 9.65<br>9.64<br>9.88 \| 13.90<br>13.69<br>14.24 \| 12.27<br>12.39<br>12.36 \|	1
\| Singingvoice \| \| \| \| \| --- \| --- \| --- \| --- \| \| Method \| GNSDR \| GSIR \| GSAR \|	\| OdetoJoy<br>-Layered<br>HMM \| 3.125 \| 3.250 \| 3.125 \| 3.8 \| 4.0 \| 3.8 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| WeThree<br>Kings-<br>Layered<br>HMM \| 3.500 \| 3.125 \| 3.125 \| 2.4 \| 1.8 \| 2.2 \| \| Pachelbel’s<br>Canon-<br>TVAR(11) \| 3.438 \| 3.375 \| 3.063 \| 3.5 \| 3.6 \| 3.2 \|	0
\| (a)Numberofrenderedviews \| \| \| \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| n \| 200 \| 500 \| 1k \| 2k \| 5k \| 10k \| 86k \| \| AP \| 29.8 \| 34.2 \| 35.3 \| 38.7 \| 40.2 \| 42.0 \| 44.0 \| \| (b)NumberofCADmodels \| \| \| \| \| \| \| \|	\| n \| 5 \| 10 \| 20 \| 40 \| 80 \| 160 \| 1393 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| AP \| 17.6 \| 25.0 \| 29.3 \| 32.8 \| 33.8 \| 38.1 \| 44.0 \|	1
\| (a)Numberofrenderedviews \| \| \| \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| n \| 200 \| 500 \| 1k \| 2k \| 5k \| 10k \| 86k \| \| AP \| 29.8 \| 34.2 \| 35.3 \| 38.7 \| 40.2 \| 42.0 \| 44.0 \| \| (b)NumberofCADmodels \| \| \| \| \| \| \| \|	\| (a)Numberofrenderedviews \| \| \| \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| n \| 200 \| 500 \| 1k \| 2k \| 5k \| 10k \| 86k \| \| AP \| 34.0 \| 40.4 \| 43.8 \| 44.3 \| 45.6 \| 46.0 \| 49.7 \| \| (b)NumberofCADmodels \| \| \| \| \| \| \| \| \| n \| 5 \| 10 \| 20 \| 40 \| 80 \| 160 \| 1393 \| \| AP \| 22.2 \| 29.5 \| 33.6 \| 36.4 \| 39.3 \| 44.2 \| 49.7 \|	0
\| (a)Numberofrenderedviews \| \| \| \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| n \| 200 \| 500 \| 1k \| 2k \| 5k \| 10k \| 86k \|	\| AP \| 29.8 \| 34.2 \| 35.3 \| 38.7 \| 40.2 \| 42.0 \| 44.0 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| (b)NumberofCADmodels \| \| \| \| \| \| \| \| \| n \| 5 \| 10 \| 20 \| 40 \| 80 \| 160 \| 1393 \| \| AP \| 17.6 \| 25.0 \| 29.3 \| 32.8 \| 33.8 \| 38.1 \| 44.0 \|	1
\| (a)Numberofrenderedviews \| \| \| \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| n \| 200 \| 500 \| 1k \| 2k \| 5k \| 10k \| 86k \|	\| AP \| 34.0 \| 40.4 \| 43.8 \| 44.3 \| 45.6 \| 46.0 \| 49.7 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| (b)NumberofCADmodels \| \| \| \| \| \| \| \| \| n \| 5 \| 10 \| 20 \| 40 \| 80 \| 160 \| 1393 \| \| AP \| 22.2 \| 29.5 \| 33.6 \| 36.4 \| 39.3 \| 44.2 \| 49.7 \|	0
\| NB \| Na¨ıveBayesModel \| \| --- \| --- \| \| KLD \| SymmetricalKullback-LeiblerDivergenceModel \| \| R \| TokenType:rating,unigramordigram \| \| LR \| LinkabilityRatio \| \| AR \| AnonymousRecord \| \| IR \| IdentiﬁedRecord(correspondingtoacertainreviewer) \| \| SymD(IR,AR)KLD \| symmetricKLDdistancebetweenIRandAR \| \| SymD \| symmetricKLDofratingtokens \| \| SymD \| symmetricKLDofcategorytokens \|	\| SymD \| symmetricKLDoflexical(unigramordigram)tokens \| \| --- \| --- \| \| SymD \| symmetricKLDofratingandcategorytokens \| \| SymD \| symmetricKLDoflexical,ratingandcategorytokens \|	1
\| NB \| Na¨ıveBayesModel \| \| --- \| --- \| \| KLD \| SymmetricalKullback-LeiblerDivergenceModel \| \| R \| TokenType:rating,unigramordigram \| \| LR \| LinkabilityRatio \| \| AR \| AnonymousRecord \| \| IR \| IdentiﬁedRecord(correspondingtoacertainreviewer) \| \| SymD(IR,AR)KLD \| symmetricKLDdistancebetweenIRandAR \| \| SymD \| symmetricKLDofratingtokens \| \| SymD \| symmetricKLDofcategorytokens \|	\| Category \| Numberoftokens \| \| --- \| --- \| \| Avg.tokens \| 22.2 \| \| Avg.entokens \| 2.1 \| \| Avg.hitokens \| 16.1 \| \| Avg.resttokens \| 4.0 \|	0
\| NB \| Na¨ıveBayesModel \| \| --- \| --- \| \| KLD \| SymmetricalKullback-LeiblerDivergenceModel \|	\| R \| TokenType:rating,unigramordigram \| \| --- \| --- \| \| LR \| LinkabilityRatio \| \| AR \| AnonymousRecord \| \| IR \| IdentiﬁedRecord(correspondingtoacertainreviewer) \| \| SymD(IR,AR)KLD \| symmetricKLDdistancebetweenIRandAR \| \| SymD \| symmetricKLDofratingtokens \| \| SymD \| symmetricKLDofcategorytokens \| \| SymD \| symmetricKLDoflexical(unigramordigram)tokens \| \| SymD \| symmetricKLDofratingandcategorytokens \| \| SymD \| symmetricKLDoflexical,ratingandcategorytokens \|	1
\| NB \| Na¨ıveBayesModel \| \| --- \| --- \| \| KLD \| SymmetricalKullback-LeiblerDivergenceModel \|	\| Avg.entokens \| 2.1 \| \| --- \| --- \| \| Avg.hitokens \| 16.1 \| \| Avg.resttokens \| 4.0 \|	0
\| LayerName \| LayerType \| \| --- \| --- \| \| Conv1 \| Conv-ReLU \| \| Conv2 \| Conv-ReLU \| \| Conv3 \| Conv-ReLU \| \| Conv4 \| Conv-ReLU \|	\| Conv5 \| Conv-ReLU \| \| --- \| --- \| \| FC6 \| FC-dropout \| \| FC7 \| FC-dropout \| \| FC8 \| FC-softmax \|	1
\| LayerName \| LayerType \| \| --- \| --- \| \| Conv1 \| Conv-ReLU \| \| Conv2 \| Conv-ReLU \| \| Conv3 \| Conv-ReLU \| \| Conv4 \| Conv-ReLU \|	\| Process \| LayerName \| LayerType \| fpoperationsperimage \| Device \| \| --- \| --- \| --- \| --- \| --- \| \| Forward \| FC6 \| FC-dropout \| 75497472 \| K40-cudnn \| \| FC7 \| FC-dropout \| 33554432 \| K40-cudnn \| \| \| FC8 \| FC-softmax \| 8192000 \| K40-cudnn \| \| \| FC6 \| FC-dropout \| 75497472 \| K40-cublas \| \| \| FC7 \| FC-dropout \| 33554432 \| K40-cublas \| \| \| FC8 \| FC-softmax \| 8192000 \| K40-cublas \| \| \| Backward \| FC6 \| FC-dropout \| 150994944 \| K40-cudnn \| \| FC7 \| FC-dropout \| 67108864 \| K40-cudnn \| \| \| FC8 \| FC-softmax \| 16384000 \| K40-cudnn \| \| \| FC6 \| FC-dropout \| 150994944 \| K40-cublas \| \| \| FC7 \| FC-dropout \| 67108864 \| K40-cublas \| \| \| FC8 \| FC-softmax \| 16384000 \| K40-cublas \| \|	0
\| LayerName \| LayerType \| \| --- \| --- \| \| Conv1 \| Conv-ReLU \| \| Conv2 \| Conv-ReLU \| \| Conv3 \| Conv-ReLU \| \| Conv4 \| Conv-ReLU \| \| Conv5 \| Conv-ReLU \|	\| FC6 \| FC-dropout \| \| --- \| --- \| \| FC7 \| FC-dropout \| \| FC8 \| FC-softmax \|	1
\| LayerName \| LayerType \| \| --- \| --- \| \| Conv1 \| Conv-ReLU \| \| Conv2 \| Conv-ReLU \| \| Conv3 \| Conv-ReLU \| \| Conv4 \| Conv-ReLU \| \| Conv5 \| Conv-ReLU \|	\| Backward \| FC6 \| FC-dropout \| 150994944 \| K40-cudnn \| \| --- \| --- \| --- \| --- \| --- \| \| FC7 \| FC-dropout \| 67108864 \| K40-cudnn \| \| \| FC8 \| FC-softmax \| 16384000 \| K40-cudnn \| \| \| FC6 \| FC-dropout \| 150994944 \| K40-cublas \| \| \| FC7 \| FC-dropout \| 67108864 \| K40-cublas \| \| \| FC8 \| FC-softmax \| 16384000 \| K40-cublas \| \|	0
\| Model \| Token<br>Sim. \| Rouge1 \| Rouge2 \| Rouge<br>-LCS \| BLEU \| Topic<br>Sim. \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Semi-supervised \| \| \| \| \| \| \| \| E-RNN \| 0.21 \| 0.28 \| 0.37 \| 0.28 \| 0.16 \| 0.015 \| \| EC-RNN \| 0.27 \| 0.38 \| 0.23 \| 0.30 \| 0.26 \| 0.023 \|	\| CNN-RNN \| 0.21 \| 0.30 \| 0.21 \| 0.28 \| 0.22 \| 0.018 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| A-RNN \| 0.21 \| 0.27 \| 0.29 \| 0.41 \| 0.21 \| 0.016 \| \| AC-RNN \| 0.23 \| 0.33 \| 0.32 \| 0.29 \| 0.22 \| 0.021 \| \| Supervised \| \| \| \| \| \| \| \| E-RNN \| 0.20 \| 0.27 \| 0.37 \| 0.27 \| 0.16 \| 0.02 \| \| EC-RNN \| 0.26 \| 0.39 \| 0.22 \| 0.30 \| 0.25 \| 0.02 \| \| CNN-RNN \| 0.21 \| 0.29 \| 0.21 \| 0.27 \| 0.21 \| 0.02 \| \| A-RNN \| 0.19 \| 0.27 \| 0.28 \| 0.38 \| 0.19 \| 0.02 \| \| AC-RNN \| 0.22 \| 0.33 \| 0.31 \| 0.27 \| 0.22 \| 0.02 \|	1
\| Model \| Token<br>Sim. \| Rouge1 \| Rouge2 \| Rouge<br>-LCS \| BLEU \| Topic<br>Sim. \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Semi-supervised \| \| \| \| \| \| \| \| E-RNN \| 0.21 \| 0.28 \| 0.37 \| 0.28 \| 0.16 \| 0.015 \| \| EC-RNN \| 0.27 \| 0.38 \| 0.23 \| 0.30 \| 0.26 \| 0.023 \|	\| Model \| Token<br>Sim. \| Rouge1 \| Rouge2 \| Rouge<br>-LCS \| BLEU \| Topic<br>Sim. \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Targetsnippetlength=5sentence \| \| \| \| \| \| \| \| Fuzzy \| 0.28 \| 0.37 \| 0.28 \| 0.21 \| 0.30 \| 0.03 \| \| V-RNN \| 0.33 \| 0.41 \| 0.61 \| 0.28 \| 0.29 \| 0.03 \| \| C-RNN \| 0.40 \| 0.52 \| 0.40 \| 0.31 \| 0.41 \| 0.04 \| \| CNN-RNN \| 0.32 \| 0.43 \| 0.29 \| 0.26 \| 0.36 \| 0.04 \| \| A-RNN \| 0.31 \| 0.36 \| 0.29 \| 0.33 \| 0.37 \| 0.03 \| \| AC-RNN \| 0.36 \| 0.45 \| 0.31 \| 0.28 \| 0.37 \| 0.04 \| \| NB \| 0.31 \| 0.40 \| 0.42 \| 0.28 \| 0.18 \| 0.03 \| \| SVM \| 0.32 \| 0.40 \| 0.38 \| 0.29 \| 0.25 \| 0.03 \| \| LSA \| 0.30 \| 0.41 \| 0.40 \| 0.28 \| 0.21 \| 0.03 \| \| LexRank \| 0.30 \| 0.40 \| 0.30 \| 0.28 \| 0.28 \| 0.03 \| \| TextRank \| 0.31 \| 0.43 \| 0.39 \| 0.27 \| 0.31 \| 0.03 \|	0
\| Model \| Token<br>Sim. \| Rouge1 \| Rouge2 \| Rouge<br>-LCS \| BLEU \| Topic<br>Sim. \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Semi-supervised \| \| \| \| \| \| \| \| E-RNN \| 0.21 \| 0.28 \| 0.37 \| 0.28 \| 0.16 \| 0.015 \| \| EC-RNN \| 0.27 \| 0.38 \| 0.23 \| 0.30 \| 0.26 \| 0.023 \| \| CNN-RNN \| 0.21 \| 0.30 \| 0.21 \| 0.28 \| 0.22 \| 0.018 \| \| A-RNN \| 0.21 \| 0.27 \| 0.29 \| 0.41 \| 0.21 \| 0.016 \|	\| AC-RNN \| 0.23 \| 0.33 \| 0.32 \| 0.29 \| 0.22 \| 0.021 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Supervised \| \| \| \| \| \| \| \| E-RNN \| 0.20 \| 0.27 \| 0.37 \| 0.27 \| 0.16 \| 0.02 \| \| EC-RNN \| 0.26 \| 0.39 \| 0.22 \| 0.30 \| 0.25 \| 0.02 \| \| CNN-RNN \| 0.21 \| 0.29 \| 0.21 \| 0.27 \| 0.21 \| 0.02 \| \| A-RNN \| 0.19 \| 0.27 \| 0.28 \| 0.38 \| 0.19 \| 0.02 \| \| AC-RNN \| 0.22 \| 0.33 \| 0.31 \| 0.27 \| 0.22 \| 0.02 \|	1
\| Model \| Token<br>Sim. \| Rouge1 \| Rouge2 \| Rouge<br>-LCS \| BLEU \| Topic<br>Sim. \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Semi-supervised \| \| \| \| \| \| \| \| E-RNN \| 0.21 \| 0.28 \| 0.37 \| 0.28 \| 0.16 \| 0.015 \| \| EC-RNN \| 0.27 \| 0.38 \| 0.23 \| 0.30 \| 0.26 \| 0.023 \| \| CNN-RNN \| 0.21 \| 0.30 \| 0.21 \| 0.28 \| 0.22 \| 0.018 \| \| A-RNN \| 0.21 \| 0.27 \| 0.29 \| 0.41 \| 0.21 \| 0.016 \|	\| LexRank \| 0.30 \| 0.40 \| 0.30 \| 0.28 \| 0.28 \| 0.03 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| TextRank \| 0.31 \| 0.43 \| 0.39 \| 0.27 \| 0.31 \| 0.03 \|	0
\| CIFAR10 \| \| --- \| \| 9.01 \| \| 11.15 \| \| 10.67 \|	\| 9.40 \| \| --- \| \| 9.21 \|	1
\| CIFAR10 \| \| --- \| \| 9.01 \| \| 11.15 \| \| 10.67 \|	\| CIFAR10 \| MNIST \| NUS-WIDE \| \| --- \| --- \| --- \| \| \| \| \| \| 0.8010.8130.8120.814 \| 0.9750.9820.9820.982 \| 0.7070.7250.7310.735 \| \| 0.7210.7330.7260.747 \| 0.9510.9530.9550.966 \| 0.6400.6500.6550.635 \| \| 0.6000.6960.6890.702 \| 0.9310.9490.9580.959 \| 0.5970.6270.6470.651 \| \| 0.4960.5800.5820.583 \| 0.9250.9550.9640.965 \| 0.5360.5220.5330.531 \| \| 0.3630.5280.5290.542 \| 0.5420.9380.9430.944 \| 0.5200.5070.5910.610 \| \| 0.2680.2820.2990.318 \| 0.4930.5170.5260.559 \| 0.5820.5940.6120.607 \| \| 0.2190.2280.2390.247 \| 0.4070.4780.4870.506 \| 0.5820.5810.5830.588 \| \| 0.1690.1610.1610.159 \| 0.3010.3040.2960.287 \| 0.4860.4620.4550.448 \| \| 0.1320.1240.1440.157 \| 0.1760.1910.2200.305 \| 0.4320.4510.4640.466 \| \| 0.2550.3300.3440.360 \| 0.5260.9150.9210.926 \| 0.4140.4650.4510.454 \| \| 0.2090.2270.2370.244 \| 0.4550.4940.5130.526 \| 0.4150.4200.4310.440 \| \| 0.1580.1630.1680.169 \| 0.4040.4420.4470.460 \| 0.4280.4290.4300.431 \| \| 0.1240.1250.1250.126 \| 0.2900.2780.2600.254 \| 0.3900.3910.3890.390 \| \| 0.1160.1210.1240.131 \| 0.1620.2360.2220.276 \| 0.4040.3840.3940.400 \|	0
\| CIFAR10 \| \| --- \| \| 9.01 \|	\| 11.15 \| \| --- \| \| 10.67 \| \| 9.40 \| \| 9.21 \|	1
\| CIFAR10 \| \| --- \| \| 9.01 \|	\| 0.1240.1250.1250.126 \| 0.2900.2780.2600.254 \| 0.3900.3910.3890.390 \| \| --- \| --- \| --- \| \| 0.1160.1210.1240.131 \| 0.1620.2360.2220.276 \| 0.4040.3840.3940.400 \|	0
\| AgentsSpeed \| \| \| --- \| --- \| \| #Agents \| VerySlowSlowSameFast \|	\| Few<br>Same<br>Many \| 4.90 \| 3.33 \| 2.49 \| 3.34 \| \| --- \| --- \| --- \| --- \| --- \| \| 4.59 \| 2.91 \| 1.45 \| 3.48 \| \| \| 6.19 \| 4.33 \| 4.95 \| 3.89 \| \|	1
\| AgentsSpeed \| \| \| --- \| --- \| \| #Agents \| VerySlowSlowSameFast \|	\| AgentsSpeed \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| \| #Agents \| VerySlowSlowSameFast \| \| \| \| \| Few<br>Same<br>Many \| 2.50 \| 2.19 \| 2.10 \| 2.24 \| \| 2.63 \| 2.52 \| 2.44 \| 2.55 \| \| \| 2.86 \| 2.69 \| 2.71 \| 2.88 \| \|	0
\| AgentsSpeed \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| \| #Agents \| VerySlowSlowSameFast \| \| \| \| \| Few<br>Same<br>Many \| 4.90 \| 3.33 \| 2.49 \| 3.34 \|	\| 4.59 \| 2.91 \| 1.45 \| 3.48 \| \| --- \| --- \| --- \| --- \| \| 6.19 \| 4.33 \| 4.95 \| 3.89 \|	1
\| AgentsSpeed \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| \| #Agents \| VerySlowSlowSameFast \| \| \| \| \| Few<br>Same<br>Many \| 4.90 \| 3.33 \| 2.49 \| 3.34 \|	\| 2.63 \| 2.52 \| 2.44 \| 2.55 \| \| --- \| --- \| --- \| --- \| \| 2.86 \| 2.69 \| 2.71 \| 2.88 \|	0
\| Tested<br>Scheme \| Classiﬁer<br>I \| Classiﬁer<br>II \| Classiﬁer<br>III \| Classiﬁer<br>IV \| Classiﬁer<br>V \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| (i) \| O \| NRS \| NR \| - \| - \| \| (ii) \| O \| NRS \| NS \| - \| - \| \| (iii) \| O \| NRS \| RS \| - \| - \| \| (iv) \| O \| NS \| RS \| - \| - \|	\| (v) \| O \| NS \| NR \| - \| - \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| (vi) \| O \| RS \| NR \| - \| - \| \| (vii) \| NRS \| NR \| RS \| - \| - \| \| (viii) \| NRS \| NR \| NS \| - \| - \| \| (ix) \| NRS \| NS \| RS \| - \| - \| \| (x) \| NS \| RS \| NR \| - \| - \| \| (xi) \| O \| NS \| RS \| NR \| NRS \|	1
\| Tested<br>Scheme \| Classiﬁer<br>I \| Classiﬁer<br>II \| Classiﬁer<br>III \| Classiﬁer<br>IV \| Classiﬁer<br>V \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| (i) \| O \| NRS \| NR \| - \| - \| \| (ii) \| O \| NRS \| NS \| - \| - \| \| (iii) \| O \| NRS \| RS \| - \| - \| \| (iv) \| O \| NS \| RS \| - \| - \|	\| Schemes<br>forCT \| Parameters \| Proofof<br>Presenceofa<br>Certiﬁcate<br>(Type1) \| Proofof<br>Absenceofa<br>Certiﬁcate<br>(Type2) \| Proofof<br>Absenceofa<br>DomainOwner<br>(Type3) \| Proof<br>of<br>Extension<br>(Type4) \| Proof<br>of<br>Currency<br>(Type5) \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Google \| ProofSize \| O(logn) \| - \| - \| O(logn) \| - \| \| CostofProof<br>Computation \| O(logn) \| - \| - \| O(logn) \| - \| \| \| CostofProof<br>Veriﬁcation \| O(logn) \| - \| - \| O(logn) \| - \| \| \| Ryan \| ProofSize \| - \| - \| O(logt) \| O(logn) \| O(logt) \| \| CostofProof<br>Computation \| - \| - \| O(logt) \| O(logn) \| O(logt) \| \| \| CostofProof<br>Veriﬁcation \| - \| - \| O(logt) \| O(logn) \| O(logt) \| \| \| Our<br>Scheme \| ProofSize \| O(logt) \| O(1) \| O(logt) \| O(logn) \| O(1) \| \| CostofProof<br>Computation \| †<br>O(logt) \| O(m) \| O(logt) \| O(logn) \| O(logm) \| \| \| CostofProof<br>Veriﬁcation \| †<br>O(logt) \| O(1) \| O(logt) \| O(logn) \| O(1) \| \|	0
\| Tested<br>Scheme \| Classiﬁer<br>I \| Classiﬁer<br>II \| Classiﬁer<br>III \| Classiﬁer<br>IV \| Classiﬁer<br>V \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| (i) \| O \| NRS \| NR \| - \| - \| \| (ii) \| O \| NRS \| NS \| - \| - \| \| (iii) \| O \| NRS \| RS \| - \| - \| \| (iv) \| O \| NS \| RS \| - \| - \| \| (v) \| O \| NS \| NR \| - \| - \|	\| (vi) \| O \| RS \| NR \| - \| - \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| (vii) \| NRS \| NR \| RS \| - \| - \| \| (viii) \| NRS \| NR \| NS \| - \| - \| \| (ix) \| NRS \| NS \| RS \| - \| - \| \| (x) \| NS \| RS \| NR \| - \| - \| \| (xi) \| O \| NS \| RS \| NR \| NRS \|	1
\| Tested<br>Scheme \| Classiﬁer<br>I \| Classiﬁer<br>II \| Classiﬁer<br>III \| Classiﬁer<br>IV \| Classiﬁer<br>V \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| (i) \| O \| NRS \| NR \| - \| - \| \| (ii) \| O \| NRS \| NS \| - \| - \| \| (iii) \| O \| NRS \| RS \| - \| - \| \| (iv) \| O \| NS \| RS \| - \| - \| \| (v) \| O \| NS \| NR \| - \| - \|	\| Our<br>Scheme \| ProofSize \| O(logt) \| O(1) \| O(logt) \| O(logn) \| O(1) \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| CostofProof<br>Computation \| †<br>O(logt) \| O(m) \| O(logt) \| O(logn) \| O(logm) \| \| \| CostofProof<br>Veriﬁcation \| †<br>O(logt) \| O(1) \| O(logt) \| O(logn) \| O(1) \| \|	0
\| Exp \| FIoU \| BIoU \| AvgIoU \| Acc \| OvrlPr \| OvrlRe \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| large \| 75.2 \| 97.9 \| 86.5 \| 98.0 \| 85.7 \| 85.9 \| \| medium \| 80.0 \| 98.0 \| 89.0 \| 98.1 \| 87.6 \| 90.2 \| \| small \| 75.0 \| 98.0 \| 86.5 \| 98.1 \| 85.7 \| 85.7 \| \| \| 38.3 \| 96.6 \| 67.4 \| 96.7 \| 88.0 \| 40.4 \| \| CNNRaw \| 80.6 \| 98.8 \| 89.7 \| 98.9 \| 88.0 \| 90.6 \| \| Unary \| 80.6 \| 98.8 \| 89.7 \| 98.9 \| 88.0 \| 90.6 \| \| Unary+ShortRange \| 80.8 \| 98.8 \| 89.8 \| 98.9 \| 87.4 \| 91.4 \| \| Full \| 80.7 \| 98.8 \| 89.8 \| 98.9 \| 86.6 \| 92.2 \|	\| CNNRaw+PP \| 80.4 \| 98.8 \| 89.6 \| 98.9 \| 88.2 \| 90.2 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Unary+PP \| 80.6 \| 98.8 \| 89.7 \| 98.9 \| 88.1 \| 90.4 \| \| Unary+ShortRange+PP \| 80.6 \| 98.8 \| 89.7 \| 98.9 \| 87.5 \| 91.1 \| \| Full+PP \| 80.5 \| 98.8 \| 89.7 \| 98.9 \| 87.0 \| 91.5 \|	1
\| Exp \| FIoU \| BIoU \| AvgIoU \| Acc \| OvrlPr \| OvrlRe \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| large \| 75.2 \| 97.9 \| 86.5 \| 98.0 \| 85.7 \| 85.9 \| \| medium \| 80.0 \| 98.0 \| 89.0 \| 98.1 \| 87.6 \| 90.2 \| \| small \| 75.0 \| 98.0 \| 86.5 \| 98.1 \| 85.7 \| 85.7 \| \| \| 38.3 \| 96.6 \| 67.4 \| 96.7 \| 88.0 \| 40.4 \| \| CNNRaw \| 80.6 \| 98.8 \| 89.7 \| 98.9 \| 88.0 \| 90.6 \| \| Unary \| 80.6 \| 98.8 \| 89.7 \| 98.9 \| 88.0 \| 90.6 \| \| Unary+ShortRange \| 80.8 \| 98.8 \| 89.8 \| 98.9 \| 87.4 \| 91.4 \| \| Full \| 80.7 \| 98.8 \| 89.8 \| 98.9 \| 86.6 \| 92.2 \|	\| \| Gradual \| Sharp \| \| \| \| \| \| \| \| \| \| \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Video \| #T \| TP \| FP \| FN \| P \| R \| F \| #T \| TP \| FP \| FN \| P \| \| 1004ABCa \| 203 \| 166 \| 13 \| 37 \| 0.927 \| 0.818 \| 0.869 \| 224 \| 213 \| 22 \| 11 \| 0.906 \| \| 1012CNNa \| 170 \| 136 \| 13 \| 34 \| 0.913 \| 0.8 \| 0.853 \| 215 \| 194 \| 15 \| 21 \| 0.928 \| \| 1016CNNa \| 150 \| 119 \| 9 \| 31 \| 0.93 \| 0.793 \| 0.856 \| 242 \| 214 \| 13 \| 28 \| 0.943 \| \| 1021ABCa \| 175 \| 154 \| 13 \| 21 \| 0.922 \| 0.88 \| 0.901 \| 240 \| 230 \| 18 \| 10 \| 0.927 \| \| 1101CNNa \| 204 \| 172 \| 20 \| 32 \| 0.896 \| 0.843 \| 0.869 \| 191 \| 187 \| 11 \| 4 \| 0.944 \| \| 1109ABCa \| 170 \| 151 \| 10 \| 19 \| 0.938 \| 0.888 \| 0.912 \| 257 \| 246 \| 15 \| 11 \| 0.943 \| \| 1123CNNa \| 126 \| 93 \| 29 \| 33 \| 0.762 \| 0.738 \| 0.75 \| 236 \| 214 \| 10 \| 22 \| 0.955 \| \| 1126ABCa \| 189 \| 168 \| 12 \| 21 \| 0.933 \| 0.889 \| 0.911 \| 273 \| 261 \| 23 \| 12 \| 0.919 \| \| 1208CNNa \| 137 \| 112 \| 15 \| 25 \| 0.882 \| 0.818 \| 0.848 \| 212 \| 196 \| 17 \| 16 \| 0.92 \| \| 1210ABCa \| 159 \| 140 \| 8 \| 19 \| 0.946 \| 0.881 \| 0.912 \| 271 \| 252 \| 14 \| 19 \| 0.947 \| \| 1216CNNa \| 153 \| 119 \| 11 \| 34 \| 0.915 \| 0.778 \| 0.841 \| 197 \| 187 \| 26 \| 10 \| 0.878 \| \| 1221ABCa \| 195 \| 149 \| 14 \| 46 \| 0.914 \| 0.764 \| 0.832 \| 217 \| 197 \| 27 \| 20 \| 0.879 \| \| Total \| 2031 \| 1679 \| 167 \| 352 \| 0.91 \| 0.827 \| 0.866 \| 2031 \| 2591 \| 211 \| 184 \| 0.925 \|	0
\| Exp \| FIoU \| BIoU \| AvgIoU \| Acc \| OvrlPr \| OvrlRe \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| large \| 75.2 \| 97.9 \| 86.5 \| 98.0 \| 85.7 \| 85.9 \| \| medium \| 80.0 \| 98.0 \| 89.0 \| 98.1 \| 87.6 \| 90.2 \| \| small \| 75.0 \| 98.0 \| 86.5 \| 98.1 \| 85.7 \| 85.7 \| \| \| 38.3 \| 96.6 \| 67.4 \| 96.7 \| 88.0 \| 40.4 \| \| CNNRaw \| 80.6 \| 98.8 \| 89.7 \| 98.9 \| 88.0 \| 90.6 \| \| Unary \| 80.6 \| 98.8 \| 89.7 \| 98.9 \| 88.0 \| 90.6 \| \| Unary+ShortRange \| 80.8 \| 98.8 \| 89.8 \| 98.9 \| 87.4 \| 91.4 \| \| Full \| 80.7 \| 98.8 \| 89.8 \| 98.9 \| 86.6 \| 92.2 \|	\| CNNRaw+PP \| 80.4 \| 98.8 \| 89.6 \| 98.9 \| 88.2 \| 90.2 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| Unary+PP \| 80.6 \| 98.8 \| 89.7 \| 98.9 \| 88.1 \| 90.4 \| \| Unary+ShortRange+PP \| 80.6 \| 98.8 \| 89.7 \| 98.9 \| 87.5 \| 91.1 \| \| Full+PP \| 80.5 \| 98.8 \| 89.7 \| 98.9 \| 87.0 \| 91.5 \|	1
\| Exp \| FIoU \| BIoU \| AvgIoU \| Acc \| OvrlPr \| OvrlRe \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| large \| 75.2 \| 97.9 \| 86.5 \| 98.0 \| 85.7 \| 85.9 \| \| medium \| 80.0 \| 98.0 \| 89.0 \| 98.1 \| 87.6 \| 90.2 \| \| small \| 75.0 \| 98.0 \| 86.5 \| 98.1 \| 85.7 \| 85.7 \| \| \| 38.3 \| 96.6 \| 67.4 \| 96.7 \| 88.0 \| 40.4 \| \| CNNRaw \| 80.6 \| 98.8 \| 89.7 \| 98.9 \| 88.0 \| 90.6 \| \| Unary \| 80.6 \| 98.8 \| 89.7 \| 98.9 \| 88.0 \| 90.6 \| \| Unary+ShortRange \| 80.8 \| 98.8 \| 89.8 \| 98.9 \| 87.4 \| 91.4 \| \| Full \| 80.7 \| 98.8 \| 89.8 \| 98.9 \| 86.6 \| 92.2 \|	\| 1208CNNa \| 137 \| 112 \| 15 \| 25 \| 0.882 \| 0.818 \| 0.848 \| 212 \| 196 \| 17 \| 16 \| 0.92 \| \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| --- \| \| 1210ABCa \| 159 \| 140 \| 8 \| 19 \| 0.946 \| 0.881 \| 0.912 \| 271 \| 252 \| 14 \| 19 \| 0.947 \| \| 1216CNNa \| 153 \| 119 \| 11 \| 34 \| 0.915 \| 0.778 \| 0.841 \| 197 \| 187 \| 26 \| 10 \| 0.878 \| \| 1221ABCa \| 195 \| 149 \| 14 \| 46 \| 0.914 \| 0.764 \| 0.832 \| 217 \| 197 \| 27 \| 20 \| 0.879 \| \| Total \| 2031 \| 1679 \| 167 \| 352 \| 0.91 \| 0.827 \| 0.866 \| 2031 \| 2591 \| 211 \| 184 \| 0.925 \|	0
\| Layer \| Filter \| Padding \| Dilation(l) \| Non-linearity \| \| --- \| --- \| --- \| --- \| --- \| \| 1 \| 96x3 \| 1 \| 1 \| ReLU \| \| 2 \| 96x3 \| 1 \| 1 \| ReLU \| \| 3 \| 96x3 \| 1 \| 1 \| ReLU \|	\| 4 \| 96x3 \| 2 \| 2 \| ReLU \| \| --- \| --- \| --- \| --- \| --- \| \| 5 \| 96x3 \| 4 \| 4 \| ReLU \| \| 6 \| 96x3 \| 8 \| 8 \| ReLU \| \| 7 \| 96x3 \| 1 \| 1 \| ReLU \| \| 8 \| 50x1 \| 0 \| 1 \| Softmax \|	1
\| Layer \| Filter \| Padding \| Dilation(l) \| Non-linearity \| \| --- \| --- \| --- \| --- \| --- \| \| 1 \| 96x3 \| 1 \| 1 \| ReLU \| \| 2 \| 96x3 \| 1 \| 1 \| ReLU \| \| 3 \| 96x3 \| 1 \| 1 \| ReLU \|	\| Layers \| Conv1 \| Conv2 \| Conv3 \| Conv4 \| Conv5 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| Filtersize \| 3×3 \| 3×3 \| 3×3 \| 3×3 \| 3×3 \| \| Filternumber \| 24 \| 24 \| 24 \| 24 \| 2 \| \| Stride \| 1 \| 1 \| 1 \| 1 \| 1 \| \| Function \| PReLU \| PReLU \| PReLU \| PReLU \| Tanh \|	0
\| Layer \| Filter \| Padding \| Dilation(l) \| Non-linearity \| \| --- \| --- \| --- \| --- \| --- \| \| 1 \| 96x3 \| 1 \| 1 \| ReLU \| \| 2 \| 96x3 \| 1 \| 1 \| ReLU \| \| 3 \| 96x3 \| 1 \| 1 \| ReLU \| \| 4 \| 96x3 \| 2 \| 2 \| ReLU \| \| 5 \| 96x3 \| 4 \| 4 \| ReLU \|	\| 6 \| 96x3 \| 8 \| 8 \| ReLU \| \| --- \| --- \| --- \| --- \| --- \| \| 7 \| 96x3 \| 1 \| 1 \| ReLU \| \| 8 \| 50x1 \| 0 \| 1 \| Softmax \|	1
\| Layer \| Filter \| Padding \| Dilation(l) \| Non-linearity \| \| --- \| --- \| --- \| --- \| --- \| \| 1 \| 96x3 \| 1 \| 1 \| ReLU \| \| 2 \| 96x3 \| 1 \| 1 \| ReLU \| \| 3 \| 96x3 \| 1 \| 1 \| ReLU \| \| 4 \| 96x3 \| 2 \| 2 \| ReLU \| \| 5 \| 96x3 \| 4 \| 4 \| ReLU \|	\| Stride \| 1 \| 1 \| 1 \| 1 \| 1 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| Function \| PReLU \| PReLU \| PReLU \| PReLU \| Tanh \|	0
\| Team \| ML \| BM \| EB1 \| EB2 \| \| --- \| --- \| --- \| --- \| --- \| \| T-1 \| 0.45 \| 0.51 \| 0.52 \| 0.60 \| \| T-2 \| 0.22 \| 0.45 \| 0.38 \| 0.43 \| \| T-3 \| 0.30 \| 0.40 \| 0.47 \| 0.66 \| \| T-4 \| 0.26 \| 0.44 \| 0.42 \| 0.44 \| \| T-5 \| 0.26 \| 0.45 \| 0.45 \| 0.56 \| \| T-6 \| 0.5 \| 0.49 \| 0.55 \| 0.7 \| \| T-7 \| 0.45 \| 0.53 \| 0.56 \| 0.66 \| \| T-8 \| 0.42 \| 0.61 \| 0.58 \| 0.74 \| \| T-9 \| 0.41 \| 0.50 \| 0.53 \| 0.76 \| \| T-10 \| 0.30 \| 0.42 \| 0.41 \| 0.41 \| \| T-11 \| 0.37 \| 0.44 \| 0.5 \| 0.73 \| \| T-12 \| 0.24 \| 0.43 \| 0.36 \| 0.52 \| \| T-13 \| 0.35 \| 0.63 \| 0.64 \| 0.75 \| \| T-14 \| 0.42 \| 0.52 \| 0.53 \| 0.67 \| \| T-15 \| 0.30 \| 0.38 \| 0.55 \| 0.64 \| \| T-16 \| 0.43 \| 0.48 \| 0.55 \| 0.65 \| \| T-17 \| 0.42 \| 0.58 \| 0.58 \| 0.68 \| \| T-18 \| 0.48 \| 0.50 \| 0.52 \| 0.65 \|	\| T-19 \| 0.41 \| 0.51 \| 0.56 \| 0.68 \| \| --- \| --- \| --- \| --- \| --- \| \| T-20 \| 0.48 \| 0.51 \| 0.64 \| 0.71 \|	1
\| Team \| ML \| BM \| EB1 \| EB2 \| \| --- \| --- \| --- \| --- \| --- \| \| T-1 \| 0.45 \| 0.51 \| 0.52 \| 0.60 \| \| T-2 \| 0.22 \| 0.45 \| 0.38 \| 0.43 \| \| T-3 \| 0.30 \| 0.40 \| 0.47 \| 0.66 \| \| T-4 \| 0.26 \| 0.44 \| 0.42 \| 0.44 \| \| T-5 \| 0.26 \| 0.45 \| 0.45 \| 0.56 \| \| T-6 \| 0.5 \| 0.49 \| 0.55 \| 0.7 \| \| T-7 \| 0.45 \| 0.53 \| 0.56 \| 0.66 \| \| T-8 \| 0.42 \| 0.61 \| 0.58 \| 0.74 \| \| T-9 \| 0.41 \| 0.50 \| 0.53 \| 0.76 \| \| T-10 \| 0.30 \| 0.42 \| 0.41 \| 0.41 \| \| T-11 \| 0.37 \| 0.44 \| 0.5 \| 0.73 \| \| T-12 \| 0.24 \| 0.43 \| 0.36 \| 0.52 \| \| T-13 \| 0.35 \| 0.63 \| 0.64 \| 0.75 \| \| T-14 \| 0.42 \| 0.52 \| 0.53 \| 0.67 \| \| T-15 \| 0.30 \| 0.38 \| 0.55 \| 0.64 \| \| T-16 \| 0.43 \| 0.48 \| 0.55 \| 0.65 \| \| T-17 \| 0.42 \| 0.58 \| 0.58 \| 0.68 \| \| T-18 \| 0.48 \| 0.50 \| 0.52 \| 0.65 \|	\| t,T \| at \| bt \| pA,t \| PA,t \| \| --- \| --- \| --- \| --- \| --- \| \| 0,1 \| 0.080 \| 0 \| 0.500 \| 0.722 \| \| 5,2 \| 0 \| 0.117 \| 0.722 \| 0.839 \| \| 10,3 \| 0 \| 0.261 \| 0839 \| 0.564 \| \| 15,4 \| 0 \| 0.055 \| 0.564 \| 0.712 \| \| 20,5 \| 0 \| 0.077 \| 0.712 \| 0.903 \| \| 25,6 \| 0 \| 0.154 \| 0.903 \| 0.803 \| \| 30,7 \| 0 \| 0.251 \| 0.803 \| 0.576 \| \| 35,8 \| 0 \| 0.108 \| 0.576 \| 0.590 \| \| 40,9 \| 0 \| 0.176 \| 0.590 \| 0.437 \| \| 45,10 \| 0.1397 \| 0 \| 0.437 \| 0.568 \| \| 50,11 \| 0 \| 0.152 \| 0.568 \| 0.419 \| \| 55,12 \| 00746 \| 0 \| 0.419 \| 0.283 \|	0
\| Team \| ML \| BM \| EB1 \| EB2 \| \| --- \| --- \| --- \| --- \| --- \| \| T-1 \| 0.45 \| 0.51 \| 0.52 \| 0.60 \| \| T-2 \| 0.22 \| 0.45 \| 0.38 \| 0.43 \| \| T-3 \| 0.30 \| 0.40 \| 0.47 \| 0.66 \| \| T-4 \| 0.26 \| 0.44 \| 0.42 \| 0.44 \| \| T-5 \| 0.26 \| 0.45 \| 0.45 \| 0.56 \| \| T-6 \| 0.5 \| 0.49 \| 0.55 \| 0.7 \| \| T-7 \| 0.45 \| 0.53 \| 0.56 \| 0.66 \| \| T-8 \| 0.42 \| 0.61 \| 0.58 \| 0.74 \| \| T-9 \| 0.41 \| 0.50 \| 0.53 \| 0.76 \| \| T-10 \| 0.30 \| 0.42 \| 0.41 \| 0.41 \| \| T-11 \| 0.37 \| 0.44 \| 0.5 \| 0.73 \| \| T-12 \| 0.24 \| 0.43 \| 0.36 \| 0.52 \| \| T-13 \| 0.35 \| 0.63 \| 0.64 \| 0.75 \| \| T-14 \| 0.42 \| 0.52 \| 0.53 \| 0.67 \| \| T-15 \| 0.30 \| 0.38 \| 0.55 \| 0.64 \| \| T-16 \| 0.43 \| 0.48 \| 0.55 \| 0.65 \| \| T-17 \| 0.42 \| 0.58 \| 0.58 \| 0.68 \| \| T-18 \| 0.48 \| 0.50 \| 0.52 \| 0.65 \|	\| T-19 \| 0.41 \| 0.51 \| 0.56 \| 0.68 \| \| --- \| --- \| --- \| --- \| --- \| \| T-20 \| 0.48 \| 0.51 \| 0.64 \| 0.71 \|	1
\| Team \| ML \| BM \| EB1 \| EB2 \| \| --- \| --- \| --- \| --- \| --- \| \| T-1 \| 0.45 \| 0.51 \| 0.52 \| 0.60 \| \| T-2 \| 0.22 \| 0.45 \| 0.38 \| 0.43 \| \| T-3 \| 0.30 \| 0.40 \| 0.47 \| 0.66 \| \| T-4 \| 0.26 \| 0.44 \| 0.42 \| 0.44 \| \| T-5 \| 0.26 \| 0.45 \| 0.45 \| 0.56 \| \| T-6 \| 0.5 \| 0.49 \| 0.55 \| 0.7 \| \| T-7 \| 0.45 \| 0.53 \| 0.56 \| 0.66 \| \| T-8 \| 0.42 \| 0.61 \| 0.58 \| 0.74 \| \| T-9 \| 0.41 \| 0.50 \| 0.53 \| 0.76 \| \| T-10 \| 0.30 \| 0.42 \| 0.41 \| 0.41 \| \| T-11 \| 0.37 \| 0.44 \| 0.5 \| 0.73 \| \| T-12 \| 0.24 \| 0.43 \| 0.36 \| 0.52 \| \| T-13 \| 0.35 \| 0.63 \| 0.64 \| 0.75 \| \| T-14 \| 0.42 \| 0.52 \| 0.53 \| 0.67 \| \| T-15 \| 0.30 \| 0.38 \| 0.55 \| 0.64 \| \| T-16 \| 0.43 \| 0.48 \| 0.55 \| 0.65 \| \| T-17 \| 0.42 \| 0.58 \| 0.58 \| 0.68 \| \| T-18 \| 0.48 \| 0.50 \| 0.52 \| 0.65 \|	\| 5,2 \| 0 \| 0.117 \| 0.722 \| 0.839 \| \| --- \| --- \| --- \| --- \| --- \| \| 10,3 \| 0 \| 0.261 \| 0839 \| 0.564 \| \| 15,4 \| 0 \| 0.055 \| 0.564 \| 0.712 \| \| 20,5 \| 0 \| 0.077 \| 0.712 \| 0.903 \| \| 25,6 \| 0 \| 0.154 \| 0.903 \| 0.803 \| \| 30,7 \| 0 \| 0.251 \| 0.803 \| 0.576 \| \| 35,8 \| 0 \| 0.108 \| 0.576 \| 0.590 \| \| 40,9 \| 0 \| 0.176 \| 0.590 \| 0.437 \| \| 45,10 \| 0.1397 \| 0 \| 0.437 \| 0.568 \| \| 50,11 \| 0 \| 0.152 \| 0.568 \| 0.419 \| \| 55,12 \| 00746 \| 0 \| 0.419 \| 0.283 \|	0
\| 81.25(81.00,81.47) \| 80.83(80.69,80.91) \| 80.05(79.69,80.41) \| 80.11(79.89,80.36) \| \| --- \| --- \| --- \| --- \| \| 47.24(46.90,47.65) \| 46.63(46.31,47.12) \| 46.04(45.27,46.61) \| 45.91(45.16,46.49) \|	\| 85.53(85.26,85.80) \| 84.61(84.47,84.90) \| 84.09(83.94,84.22) \| 84.02(83.57,84.28) \| \| --- \| --- \| --- \| --- \| \| 93.18(93.09,93.31) \| 92.49(92.33,92.61) \| 92.66(92.50,92.79) \| 92.52(92.33,92.96) \| \| 91.53(91.26,91.78) \| 89.93(89.75,90.09) \| 89.73(89.61,89.83) \| 89.49(89.31,89.65) \| \| 83.81(83.44,84.37) \| 82.70(82.14,83.11) \| 82.46(82.17,82.76) \| 82.26(81.86,82.90) \| \| 89.39(89.14,89.58) \| 89.36(89.17,89.57) \| 89.14(89.00,89.45) \| 89.31(89.18,89.48) \|	1
\| 81.25(81.00,81.47) \| 80.83(80.69,80.91) \| 80.05(79.69,80.41) \| 80.11(79.89,80.36) \| \| --- \| --- \| --- \| --- \| \| 47.24(46.90,47.65) \| 46.63(46.31,47.12) \| 46.04(45.27,46.61) \| 45.91(45.16,46.49) \|	\| 79.75(79.47,80.03) \| 80.20(80.02,80.35) \| 80.68(80.14,81.21) \| 80.99(80.65,81.30) \| \| --- \| --- \| --- \| --- \| \| 44.98(44.06,45.68) \| 46.10(45.37,46.84) \| 46.75(46.35,47.36) \| 47.02(46.59,47.59) \| \| 83.69(83.46,84.07) \| 84.63(84.44,84.88) \| 85.18(84.64,85.59) \| 85.38(85.31,85.49) \| \| 92.60(92.28,92.76) \| 92.87(92.69,93.17) \| 93.06(92.81,93.19) \| 93.13(92.79,93.32) \| \| 90.29(89.93,90.61) \| 91.42(91.16,91.71) \| 91.52(91.23,91.72) \| 91.47(91.15,91.64) \| \| 81.72(81.21,82.20) \| 82.71(82.06,83.30) \| 83.44(83.06,83.90) \| 83.70(83.31,84.25) \| \| 89.15(88.83,89.47) \| 89.39(89.14,89.56) \| 89.30(89.16,89.60) \| 89.37(88.99,89.61) \|	0
\| 81.25(81.00,81.47) \| 80.83(80.69,80.91) \| 80.05(79.69,80.41) \| 80.11(79.89,80.36) \| \| --- \| --- \| --- \| --- \| \| 47.24(46.90,47.65) \| 46.63(46.31,47.12) \| 46.04(45.27,46.61) \| 45.91(45.16,46.49) \| \| 85.53(85.26,85.80) \| 84.61(84.47,84.90) \| 84.09(83.94,84.22) \| 84.02(83.57,84.28) \| \| 93.18(93.09,93.31) \| 92.49(92.33,92.61) \| 92.66(92.50,92.79) \| 92.52(92.33,92.96) \| \| 91.53(91.26,91.78) \| 89.93(89.75,90.09) \| 89.73(89.61,89.83) \| 89.49(89.31,89.65) \|	\| 83.81(83.44,84.37) \| 82.70(82.14,83.11) \| 82.46(82.17,82.76) \| 82.26(81.86,82.90) \| \| --- \| --- \| --- \| --- \| \| 89.39(89.14,89.58) \| 89.36(89.17,89.57) \| 89.14(89.00,89.45) \| 89.31(89.18,89.48) \|	1
\| 81.25(81.00,81.47) \| 80.83(80.69,80.91) \| 80.05(79.69,80.41) \| 80.11(79.89,80.36) \| \| --- \| --- \| --- \| --- \| \| 47.24(46.90,47.65) \| 46.63(46.31,47.12) \| 46.04(45.27,46.61) \| 45.91(45.16,46.49) \| \| 85.53(85.26,85.80) \| 84.61(84.47,84.90) \| 84.09(83.94,84.22) \| 84.02(83.57,84.28) \| \| 93.18(93.09,93.31) \| 92.49(92.33,92.61) \| 92.66(92.50,92.79) \| 92.52(92.33,92.96) \| \| 91.53(91.26,91.78) \| 89.93(89.75,90.09) \| 89.73(89.61,89.83) \| 89.49(89.31,89.65) \|	\| 83.69(83.46,84.07) \| 84.63(84.44,84.88) \| 85.18(84.64,85.59) \| 85.38(85.31,85.49) \| \| --- \| --- \| --- \| --- \| \| 92.60(92.28,92.76) \| 92.87(92.69,93.17) \| 93.06(92.81,93.19) \| 93.13(92.79,93.32) \| \| 90.29(89.93,90.61) \| 91.42(91.16,91.71) \| 91.52(91.23,91.72) \| 91.47(91.15,91.64) \| \| 81.72(81.21,82.20) \| 82.71(82.06,83.30) \| 83.44(83.06,83.90) \| 83.70(83.31,84.25) \| \| 89.15(88.83,89.47) \| 89.39(89.14,89.56) \| 89.30(89.16,89.60) \| 89.37(88.99,89.61) \|	0
\| Non-EnglishorMath \| Frequency \| Comments \| \| --- \| --- \| --- \| \| Ø \| 1in1,000 \| ForSwedishnames \| \| π \| 1in5 \| Commoninmath \|	\| $ \| 4in5 \| Usedinbusiness \| \| --- \| --- \| --- \| \| Ψ \| 1in40,000 \| Unexplainedusage \|	1
\| Non-EnglishorMath \| Frequency \| Comments \| \| --- \| --- \| --- \| \| Ø \| 1in1,000 \| ForSwedishnames \| \| π \| 1in5 \| Commoninmath \|	\| Non-EnglishorMath \| Frequency \| Comments \| \| --- \| --- \| --- \| \| Ø \| 1in1,000 \| ForSwedishnames \| \| π \| 1in5 \| Commoninmath \| \| $ \| 4in5 \| Usedinbusiness \| \| Ψ \| 1in40,000 \| Unexplainedusage \|	0
\| Non-EnglishorMath \| Frequency \| Comments \| \| --- \| --- \| --- \| \| Ø \| 1in1,000 \| ForSwedishnames \| \| π \| 1in5 \| Commoninmath \|	\| $ \| 4in5 \| Usedinbusiness \| \| --- \| --- \| --- \| \| Ψ \| 1in40,000 \| Unexplainedusage \|	1
\| Non-EnglishorMath \| Frequency \| Comments \| \| --- \| --- \| --- \| \| Ø \| 1in1,000 \| ForSwedishnames \| \| π \| 1in5 \| Commoninmath \|	\| $ \| 4in5 \| Usedinbusiness \| \| --- \| --- \| --- \| \| Ψ \| 1in40,000 \| Unexplainedusage \|	0
\| Protocolphase \| Entity \| (#rangepolicies,#setpolicies)=(2,4)<br>TypeATypeA1TypeE \| \| \| \| --- \| --- \| --- \| --- \| --- \| \| SystemInitialisation-CentralAuthority(CA) \| \| \| \| \| \| initialisethesystem \| CA \| 626.05.1 \| 9155.95 \| 2895.25 \| \| Issuingphase \| \| \| \| \| \| generatePoKΠ \| Seller \| 184.25 \| 2881.8 \| 469.1 \| \| verifyΠ \| User \| 107.9 \| 1424.95 \| 286.2 \| \| generateticketrequest,Π \| User \| 1008.7 \| 17195.95 \| 2847.35 \| \| verifyΠ \| Seller \| 787.3 \| 11288.0 \| 2166.25 \|	\| generateticket \| Seller \| 47.85 \| 583.0 \| 120.3 \| \| --- \| --- \| --- \| --- \| --- \| \| verifyticket \| User \| 52.5 \| 856.75 \| 158.35 \| \| TicketVeriﬁcation-Veriﬁer(V) \| \| \| \| \| \| generatetickettranscriptTransT \| User \| 241.4 \| 3538.7 \| 707.4 \| \| verifytranscript \| Veriﬁer \| 214.05 \| 2539.8 \| 649.8 \| \| Totalsystemruntime \| \| \| \| \| \| Allphases \| All \| 3659.1 \| 54382.95 \| 11383.1 \|	1
\| Protocolphase \| Entity \| (#rangepolicies,#setpolicies)=(2,4)<br>TypeATypeA1TypeE \| \| \| \| --- \| --- \| --- \| --- \| --- \| \| SystemInitialisation-CentralAuthority(CA) \| \| \| \| \| \| initialisethesystem \| CA \| 626.05.1 \| 9155.95 \| 2895.25 \| \| Issuingphase \| \| \| \| \| \| generatePoKΠ \| Seller \| 184.25 \| 2881.8 \| 469.1 \| \| verifyΠ \| User \| 107.9 \| 1424.95 \| 286.2 \| \| generateticketrequest,Π \| User \| 1008.7 \| 17195.95 \| 2847.35 \| \| verifyΠ \| Seller \| 787.3 \| 11288.0 \| 2166.25 \|	\| Parameter \| Values \| \| --- \| --- \| \| NumberofnodesN \| 1000,5000 \| \| Maximumnodedegreemaxk \| 50 \| \| Averagenodedegreeavgk \| 10 \| \| Degreedistributionτ1 \| -2 \| \| Maximumcommunitysizemaxc \| 50,100 \| \| Minimumcommunitysizeminc \| 10,20 \| \| Communitysizedistributionτ2 \| -1 \| \| Mixingparameterµ \| [0.05,0.075]withstepof0.05 \| \| OverlappingNodesOn \| 500 \| \| OverlappingMembershipsOm \| [1,8]withstepof1 \|	0
\| Protocolphase \| Entity \| (#rangepolicies,#setpolicies)=(2,4)<br>TypeATypeA1TypeE \| \| \| \| --- \| --- \| --- \| --- \| --- \| \| SystemInitialisation-CentralAuthority(CA) \| \| \| \| \| \| initialisethesystem \| CA \| 626.05.1 \| 9155.95 \| 2895.25 \| \| Issuingphase \| \| \| \| \| \| generatePoKΠ \| Seller \| 184.25 \| 2881.8 \| 469.1 \| \| verifyΠ \| User \| 107.9 \| 1424.95 \| 286.2 \| \| generateticketrequest,Π \| User \| 1008.7 \| 17195.95 \| 2847.35 \| \| verifyΠ \| Seller \| 787.3 \| 11288.0 \| 2166.25 \| \| generateticket \| Seller \| 47.85 \| 583.0 \| 120.3 \|	\| verifyticket \| User \| 52.5 \| 856.75 \| 158.35 \| \| --- \| --- \| --- \| --- \| --- \| \| TicketVeriﬁcation-Veriﬁer(V) \| \| \| \| \| \| generatetickettranscriptTransT \| User \| 241.4 \| 3538.7 \| 707.4 \| \| verifytranscript \| Veriﬁer \| 214.05 \| 2539.8 \| 649.8 \| \| Totalsystemruntime \| \| \| \| \| \| Allphases \| All \| 3659.1 \| 54382.95 \| 11383.1 \|	1
\| Protocolphase \| Entity \| (#rangepolicies,#setpolicies)=(2,4)<br>TypeATypeA1TypeE \| \| \| \| --- \| --- \| --- \| --- \| --- \| \| SystemInitialisation-CentralAuthority(CA) \| \| \| \| \| \| initialisethesystem \| CA \| 626.05.1 \| 9155.95 \| 2895.25 \| \| Issuingphase \| \| \| \| \| \| generatePoKΠ \| Seller \| 184.25 \| 2881.8 \| 469.1 \| \| verifyΠ \| User \| 107.9 \| 1424.95 \| 286.2 \| \| generateticketrequest,Π \| User \| 1008.7 \| 17195.95 \| 2847.35 \| \| verifyΠ \| Seller \| 787.3 \| 11288.0 \| 2166.25 \| \| generateticket \| Seller \| 47.85 \| 583.0 \| 120.3 \|	\| OverlappingNodesOn \| 500 \| \| --- \| --- \| \| OverlappingMembershipsOm \| [1,8]withstepof1 \|	0
\| Dataset \| #trainingpoint \| #testingpoint \| #uniquetags \| Avg#tagsperdocument \| \| --- \| --- \| --- \| --- \| --- \| \| Wiki10 \| 14095 \| 6600 \| 31177 \| 17.27 \|	\| WikiNER \| 89521 \| 10000 \| 67179 \| 22.96 \| \| --- \| --- \| --- \| --- \| --- \| \| RelevanceModeling(Chinese) \| 4505 \| 500 \| 391 \| 1.02 \| \| RelevanceModeling(Korean) \| 1292 \| 500 \| 261 \| 1.07 \| \| NCT(all) \| 40305 \| 9546 \| 883 \| 1.88 \| \| NCT(general) \| 39401 \| 9389 \| 294 \| 1.76 \| \| NCT(speciﬁc) \| 17278 \| 4509 \| 412 \| 1.41 \|	1
\| Dataset \| #trainingpoint \| #testingpoint \| #uniquetags \| Avg#tagsperdocument \| \| --- \| --- \| --- \| --- \| --- \| \| Wiki10 \| 14095 \| 6600 \| 31177 \| 17.27 \|	\| Dataset \| t=0.5 \| t=0.6 \| t=0.7 \| t=0.8 \| t=0.9 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| AllPairs+BayesLSH \| \| \| \| \| \| \| RCV1 \| 97.97 \| 98.18 \| 98.47 \| 99.08 \| 99.36 \| \| WikiWords100K \| 98.52 \| 98.84 \| 99.2 \| 98.58 \| 96.69 \| \| WikiWords500K \| 97.54 \| 97.82 \| 98.21 \| 98.16 \| 96.66 \| \| WikiLinks \| 97.45 \| 98.04 \| 98.46 \| 98.68 \| 99.18 \| \| Orkut \| 97.1 \| 97.8 \| 98.86 \| 99.84 \| 99.99 \| \| Twitter \| 97.7 \| 96 \| 96.88 \| 97.33 \| 98.77 \| \| AllPairs+BayesLSH-Lite \| \| \| \| \| \| \| RCV1 \| 98.73 \| 98.82 \| 98.89 \| 99.26 \| 99.55 \| \| WikiWords100K \| 98.88 \| 99.31 \| 99.62 \| 99.69 \| 99.5 \| \| WikiWords500K \| 98.79 \| 98.72 \| 98.98 \| 98.74 \| 98.83 \| \| WikiLinks \| 98.53 \| 98.91 \| 99.16 \| 99.18 \| 99.45 \| \| Orkut \| 98.4 \| 98.64 \| 99.3 \| 99.87 \| 99.99 \| \| Twitter \| 99.44 \| 98.82 \| 97.17 \| 97.18 \| 99.06 \|	0
\| Dataset \| #trainingpoint \| #testingpoint \| #uniquetags \| Avg#tagsperdocument \| \| --- \| --- \| --- \| --- \| --- \| \| Wiki10 \| 14095 \| 6600 \| 31177 \| 17.27 \|	\| WikiNER \| 89521 \| 10000 \| 67179 \| 22.96 \| \| --- \| --- \| --- \| --- \| --- \| \| RelevanceModeling(Chinese) \| 4505 \| 500 \| 391 \| 1.02 \| \| RelevanceModeling(Korean) \| 1292 \| 500 \| 261 \| 1.07 \| \| NCT(all) \| 40305 \| 9546 \| 883 \| 1.88 \| \| NCT(general) \| 39401 \| 9389 \| 294 \| 1.76 \| \| NCT(speciﬁc) \| 17278 \| 4509 \| 412 \| 1.41 \|	1
\| Dataset \| #trainingpoint \| #testingpoint \| #uniquetags \| Avg#tagsperdocument \| \| --- \| --- \| --- \| --- \| --- \| \| Wiki10 \| 14095 \| 6600 \| 31177 \| 17.27 \|	\| WikiWords500K \| 97.54 \| 97.82 \| 98.21 \| 98.16 \| 96.66 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| WikiLinks \| 97.45 \| 98.04 \| 98.46 \| 98.68 \| 99.18 \| \| Orkut \| 97.1 \| 97.8 \| 98.86 \| 99.84 \| 99.99 \| \| Twitter \| 97.7 \| 96 \| 96.88 \| 97.33 \| 98.77 \| \| AllPairs+BayesLSH-Lite \| \| \| \| \| \| \| RCV1 \| 98.73 \| 98.82 \| 98.89 \| 99.26 \| 99.55 \| \| WikiWords100K \| 98.88 \| 99.31 \| 99.62 \| 99.69 \| 99.5 \| \| WikiWords500K \| 98.79 \| 98.72 \| 98.98 \| 98.74 \| 98.83 \| \| WikiLinks \| 98.53 \| 98.91 \| 99.16 \| 99.18 \| 99.45 \| \| Orkut \| 98.4 \| 98.64 \| 99.3 \| 99.87 \| 99.99 \| \| Twitter \| 99.44 \| 98.82 \| 97.17 \| 97.18 \| 99.06 \|	0
\| Methods \| Market-1501 \| VIPeR \| \| --- \| --- \| --- \| \| r=1mAP \| r=1r=20mAP \| \| \| BoW \| 9.043.26 \| 7.8239.3411.44 \| \| BoW+Geo \| 21.238.46 \| 15.4751.4919.85 \| \| BoW+Geo+Gauss \| 34.4014.09 \| 21.7460.8526.55 \| \| BoW+Geo+Gauss+MultiQavg \| 41.6617.63 \| --- \|	\| BoW+Geo+Gauss+MultiQmax \| 42.1418.53 \| --- \| \| --- \| --- \| --- \| \| BoW+Geo+Gauss+MultiQmax+Rerank \| 42.1419.20 \| --- \|	1
\| Methods \| Market-1501 \| VIPeR \| \| --- \| --- \| --- \| \| r=1mAP \| r=1r=20mAP \| \| \| BoW \| 9.043.26 \| 7.8239.3411.44 \| \| BoW+Geo \| 21.238.46 \| 15.4751.4919.85 \| \| BoW+Geo+Gauss \| 34.4014.09 \| 21.7460.8526.55 \| \| BoW+Geo+Gauss+MultiQavg \| 41.6617.63 \| --- \|	\| Methods \| r=1 \| r=5 \| r=20 \| \| --- \| --- \| --- \| --- \| \| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking \| 65.51<br>66.77<br>66.57<br>67.68 \| 81.72<br>82.68<br>82.88<br>82.17 \| 90.10<br>91.21<br>91.46<br>90.91 \| \| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking \| 64.95<br>65.15<br>66.36<br>67.17 \| 81.01<br>82.58<br>82.63<br>81.41 \| 89.90<br>90.56<br>91.67<br>90.25 \| \| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking \| 63.33<br>63.89<br>65.15<br>65.71 \| 80.51<br>80.81<br>81.67<br>80.51 \| 88.74<br>89.65<br>91.01<br>89.29 \| \| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking \| 60.81<br>61.92<br>61.81<br>63.59 \| 77.93<br>78.38<br>79.14<br>78.43 \| 87.88<br>88.28<br>88.69<br>88.18 \|	0
\| Methods \| Market-1501 \| VIPeR \| \| --- \| --- \| --- \| \| r=1mAP \| r=1r=20mAP \| \| \| BoW \| 9.043.26 \| 7.8239.3411.44 \| \| BoW+Geo \| 21.238.46 \| 15.4751.4919.85 \|	\| BoW+Geo+Gauss \| 34.4014.09 \| 21.7460.8526.55 \| \| --- \| --- \| --- \| \| BoW+Geo+Gauss+MultiQavg \| 41.6617.63 \| --- \| \| BoW+Geo+Gauss+MultiQmax \| 42.1418.53 \| --- \| \| BoW+Geo+Gauss+MultiQmax+Rerank \| 42.1419.20 \| --- \|	1
\| Methods \| Market-1501 \| VIPeR \| \| --- \| --- \| --- \| \| r=1mAP \| r=1r=20mAP \| \| \| BoW \| 9.043.26 \| 7.8239.3411.44 \| \| BoW+Geo \| 21.238.46 \| 15.4751.4919.85 \|	\| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking \| 64.95<br>65.15<br>66.36<br>67.17 \| 81.01<br>82.58<br>82.63<br>81.41 \| 89.90<br>90.56<br>91.67<br>90.25 \| \| --- \| --- \| --- \| --- \| \| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking \| 63.33<br>63.89<br>65.15<br>65.71 \| 80.51<br>80.81<br>81.67<br>80.51 \| 88.74<br>89.65<br>91.01<br>89.29 \| \| k-NN<br>inv-DAKR<br>bi-DAKR<br>re-ranking \| 60.81<br>61.92<br>61.81<br>63.59 \| 77.93<br>78.38<br>79.14<br>78.43 \| 87.88<br>88.28<br>88.69<br>88.18 \|	0
\| Type/Stride \| FilterShape \| InputSize \| \| --- \| --- \| --- \| \| Conv/s2 \| 3×3×1×32 \| 96×96×1 \| \| Convdw/s1 \| 3×3×32dw \| 48×48×32 \| \| Conv/s1 \| 1×1×32×64 \| 48×48×32 \| \| Convdw/s2 \| 3×3×64dw \| 48×48×64 \| \| Conv/s1 \| 1×1×64×128 \| 24×24×64 \| \| Convdw/s1 \| 3×3×128dw \| 56×24×128 \| \| Conv/s1 \| 1×1×128×128 \| 24×24×128 \| \| Convdw/s2 \| 3×3×128dw \| 24×24×128 \| \| Conv/s1 \| 1×1×128×256 \| 12×12×128 \| \| Convdw/s1 \| 3×3×256dw \| 12×12×256 \| \| Conv/s1 \| 1×1×256×256 \| 12×12×256 \| \| Convdw/s2 \| 3×3×256dw \| 12×12×256 \| \| Conv/s1 \| 1×1×256×512 \| 6×6×256 \| \| 5×Convdw/s1 \| 3×3×512dw \| 6×6×512 \| \| Conv/s1 \| 1×1×512×512 \| 6×6×512 \| \| Convdw/s2 \| 3×3×512dw \| 6×6×512 \|	\| AvgPool/s1 \| Pool6×6 \| 6×6×512 \| \| --- \| --- \| --- \| \| FC/s1 \| 512×l \| 1×1×512 \| \| FC/s1 \| l×c \| 1×1×l \| \| Softmax/s1 \| Classiﬁer \| 1×1×c \|	1
\| Type/Stride \| FilterShape \| InputSize \| \| --- \| --- \| --- \| \| Conv/s2 \| 3×3×1×32 \| 96×96×1 \| \| Convdw/s1 \| 3×3×32dw \| 48×48×32 \| \| Conv/s1 \| 1×1×32×64 \| 48×48×32 \| \| Convdw/s2 \| 3×3×64dw \| 48×48×64 \| \| Conv/s1 \| 1×1×64×128 \| 24×24×64 \| \| Convdw/s1 \| 3×3×128dw \| 56×24×128 \| \| Conv/s1 \| 1×1×128×128 \| 24×24×128 \| \| Convdw/s2 \| 3×3×128dw \| 24×24×128 \| \| Conv/s1 \| 1×1×128×256 \| 12×12×128 \| \| Convdw/s1 \| 3×3×256dw \| 12×12×256 \| \| Conv/s1 \| 1×1×256×256 \| 12×12×256 \| \| Convdw/s2 \| 3×3×256dw \| 12×12×256 \| \| Conv/s1 \| 1×1×256×512 \| 6×6×256 \| \| 5×Convdw/s1 \| 3×3×512dw \| 6×6×512 \| \| Conv/s1 \| 1×1×512×512 \| 6×6×512 \| \| Convdw/s2 \| 3×3×512dw \| 6×6×512 \|	\| Name \| Kernel \| OutputSize \| Name \| Kernel \| OutputSize \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| conv1,2 \| 3×3 \| 320×448×64 \| deconv5 \| 2×2 \| 40×56×256 \| \| pool1 \| 2×2 \| 160×224×64 \| reﬁne-1convs \| 3×3 \| 40×56×256 \| \| conv3,4 \| 3×3 \| 160×224×128 \| deconv4 \| 2×2 \| 80×112×128 \| \| pool2 \| 2×2 \| 80×112×128 \| reﬁne-2convs \| 3×3 \| 80×112×128 \| \| conv5,6,1-2 \| 3×3 \| 80×112×256 \| deconv3 \| 2×2 \| 160×224×64 \| \| pool3 \| 2×2 \| 40×56×256 \| reﬁne-3convs \| 3×3 \| 160×224×64 \| \| conv7,8,1-2 \| 3×3 \| 40×56×512 \| deconv2 \| 2×2 \| 320×448×32 \| \| pool4 \| 2×2 \| 20×28×512 \| reﬁne-4convs \| 3×3 \| 320×448×32 \|	0
\| Type/Stride \| FilterShape \| InputSize \| \| --- \| --- \| --- \| \| Conv/s2 \| 3×3×1×32 \| 96×96×1 \| \| Convdw/s1 \| 3×3×32dw \| 48×48×32 \| \| Conv/s1 \| 1×1×32×64 \| 48×48×32 \| \| Convdw/s2 \| 3×3×64dw \| 48×48×64 \| \| Conv/s1 \| 1×1×64×128 \| 24×24×64 \| \| Convdw/s1 \| 3×3×128dw \| 56×24×128 \| \| Conv/s1 \| 1×1×128×128 \| 24×24×128 \| \| Convdw/s2 \| 3×3×128dw \| 24×24×128 \| \| Conv/s1 \| 1×1×128×256 \| 12×12×128 \| \| Convdw/s1 \| 3×3×256dw \| 12×12×256 \| \| Conv/s1 \| 1×1×256×256 \| 12×12×256 \| \| Convdw/s2 \| 3×3×256dw \| 12×12×256 \| \| Conv/s1 \| 1×1×256×512 \| 6×6×256 \| \| 5×Convdw/s1 \| 3×3×512dw \| 6×6×512 \|	\| Conv/s1 \| 1×1×512×512 \| 6×6×512 \| \| --- \| --- \| --- \| \| Convdw/s2 \| 3×3×512dw \| 6×6×512 \| \| AvgPool/s1 \| Pool6×6 \| 6×6×512 \| \| FC/s1 \| 512×l \| 1×1×512 \| \| FC/s1 \| l×c \| 1×1×l \| \| Softmax/s1 \| Classiﬁer \| 1×1×c \|	1
\| Type/Stride \| FilterShape \| InputSize \| \| --- \| --- \| --- \| \| Conv/s2 \| 3×3×1×32 \| 96×96×1 \| \| Convdw/s1 \| 3×3×32dw \| 48×48×32 \| \| Conv/s1 \| 1×1×32×64 \| 48×48×32 \| \| Convdw/s2 \| 3×3×64dw \| 48×48×64 \| \| Conv/s1 \| 1×1×64×128 \| 24×24×64 \| \| Convdw/s1 \| 3×3×128dw \| 56×24×128 \| \| Conv/s1 \| 1×1×128×128 \| 24×24×128 \| \| Convdw/s2 \| 3×3×128dw \| 24×24×128 \| \| Conv/s1 \| 1×1×128×256 \| 12×12×128 \| \| Convdw/s1 \| 3×3×256dw \| 12×12×256 \| \| Conv/s1 \| 1×1×256×256 \| 12×12×256 \| \| Convdw/s2 \| 3×3×256dw \| 12×12×256 \| \| Conv/s1 \| 1×1×256×512 \| 6×6×256 \| \| 5×Convdw/s1 \| 3×3×512dw \| 6×6×512 \|	\| conv3,4 \| 3×3 \| 160×224×128 \| deconv4 \| 2×2 \| 80×112×128 \| \| --- \| --- \| --- \| --- \| --- \| --- \| \| pool2 \| 2×2 \| 80×112×128 \| reﬁne-2convs \| 3×3 \| 80×112×128 \| \| conv5,6,1-2 \| 3×3 \| 80×112×256 \| deconv3 \| 2×2 \| 160×224×64 \| \| pool3 \| 2×2 \| 40×56×256 \| reﬁne-3convs \| 3×3 \| 160×224×64 \| \| conv7,8,1-2 \| 3×3 \| 40×56×512 \| deconv2 \| 2×2 \| 320×448×32 \| \| pool4 \| 2×2 \| 20×28×512 \| reﬁne-4convs \| 3×3 \| 320×448×32 \|	0