premise string | hypothesis string | label int64 |
|---|---|---|
| 77.85(77.47,77.97) |
| --- |
| 80.48(80.26,80.65) |
| 81.13(80.96,81.32) | | | 81.65(81.45,81.85) |
| --- |
| 81.43(81.28,81.75) |
| 81.26(81.01,81.43) |
| 81.06(80.87,81.30) |
| 80.91(80.73,81.10) |
| 80.91(80.72,81.05) | | 1 |
| 77.85(77.47,77.97) |
| --- |
| 80.48(80.26,80.65) |
| 81.13(80.96,81.32) | | | 79.38(78.88,79.82) | 80.49(80.16,80.87) | 80.60(80.27,80.85) | 80.76(80.48,81.00) | 80.80(80.56,81.11) | 80.79(80.68,80.86) |
| --- | --- | --- | --- | --- | --- |
| 45.62(45.28,46.01) | 46.33(46.00,46.69) | 46.21(45.68,46.85) | 46.23(45.70,46.99) | 46.10(45.71,46.59) | 46.20(45.85,46.55) |
| 83.38(82.65,83.68) | 84.... | 0 |
| 77.85(77.47,77.97) |
| --- |
| 80.48(80.26,80.65) |
| 81.13(80.96,81.32) |
| 81.65(81.45,81.85) | | | 81.43(81.28,81.75) |
| --- |
| 81.26(81.01,81.43) |
| 81.06(80.87,81.30) |
| 80.91(80.73,81.10) |
| 80.91(80.72,81.05) | | 1 |
| 77.85(77.47,77.97) |
| --- |
| 80.48(80.26,80.65) |
| 81.13(80.96,81.32) |
| 81.65(81.45,81.85) | | | 89.02(88.62,89.31) | 90.51(90.26,90.82) | 90.62(90.09,90.82) | 90.73(90.48,90.99) | 90.72(90.43,90.89) | 90.70(90.51,91.03) |
| --- | --- | --- | --- | --- | --- |
| 79.40(78.76,80.03) | 82.57(82.05,83.31) | 83.48(82.99,84.06) | 83.83(83.51,84.26) | 83.95(83.36,84.60) | 83.96(83.49,84.47) |
| 89.28(89.04,89.45) | 89.... | 0 |
| Initialization | Torso | Upperlegs | Lowerlegs | Upperarms | Lowerarms | Head | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Ours | 93.9 | 71.2 | 55.0 | 44.5 | 21.6 | 63.2 | 58.2 |
| Shuffle&Learn | 90.4 | 62.7 | 45.7 | 33.3 | 11.8 | 52.0 | 49.3 | | | Random | 87.3 | 52.3 | 35.4 | 25.4 | 7.6 | 44.0 | 42.0 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Alexnet | 92.8 | 68.1 | 53.0 | 39.8 | 17.5 | 62.8 | 55.7 | | 1 |
| Initialization | Torso | Upperlegs | Lowerlegs | Upperarms | Lowerarms | Head | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Ours | 93.9 | 71.2 | 55.0 | 44.5 | 21.6 | 63.2 | 58.2 |
| Shuffle&Learn | 90.4 | 62.7 | 45.7 | 33.3 | 11.8 | 52.0 | 49.3 | | | | Ours | Shuffle&Learn | RandomInit. | AlexNet |
| --- | --- | --- | --- | --- |
| Head | 83.8 | 75.8 | 79.5 | 87.2 |
| Neck | 90.9 | 86.3 | 87.1 | 93.2 |
| LRShoulder | 77.5 | 75.0 | 71.6 | 85.2 |
| LRElbow. | 60.8 | 59.2 | 52.1 | 69.6 |
| LRWrist | 44.4 | 42.2 | 34.6 | 52.0 |
| LRHip | 74.6 | 73.3 | 64.1 | 81.3 |
| ... | 0 |
| Initialization | Torso | Upperlegs | Lowerlegs | Upperarms | Lowerarms | Head | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Ours | 93.9 | 71.2 | 55.0 | 44.5 | 21.6 | 63.2 | 58.2 | | | Shuffle&Learn | 90.4 | 62.7 | 45.7 | 33.3 | 11.8 | 52.0 | 49.3 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Random | 87.3 | 52.3 | 35.4 | 25.4 | 7.6 | 44.0 | 42.0 |
| Alexnet | 92.8 | 68.1 | 53.0 | 39.8 | 17.5 | 62.8 | 55.7 | | 1 |
| Initialization | Torso | Upperlegs | Lowerlegs | Upperarms | Lowerarms | Head | Total |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Ours | 93.9 | 71.2 | 55.0 | 44.5 | 21.6 | 63.2 | 58.2 | | | LRElbow. | 60.8 | 59.2 | 52.1 | 69.6 |
| --- | --- | --- | --- | --- |
| LRWrist | 44.4 | 42.2 | 34.6 | 52.0 |
| LRHip | 74.6 | 73.3 | 64.1 | 81.3 |
| LRKnee | 65.4 | 63.1 | 58.3 | 69.7 |
| LRAnkle | 57.4 | 51.7 | 51.2 | 62.0 |
| Thorax | 90.5 | 87.1 | 85.5 | 93.4 |
| Pelvis | 81.3 | 79.5 | 70.1 | 86.6 |
| Total | 72... | 0 |
| Graph | Accuracy | | |
| --- | --- | --- | --- |
| subjectA | subjectB | subjectC | |
| GCC | 0.6833 | 0.6414 | 0.6435 | | | IdentityMatrix | 0.6616 | 0.6052 | 0.6213 |
| --- | --- | --- | --- |
| RandomMatrix | 0.5941 | 0.5589 | 0.5332 | | 1 |
| Graph | Accuracy | | |
| --- | --- | --- | --- |
| subjectA | subjectB | subjectC | |
| GCC | 0.6833 | 0.6414 | 0.6435 | | | Model | Precision | Recall | F-Score |
| --- | --- | --- | --- |
| GraphCRF | 65.20 | 66.50 | 65.84 |
| SupervisedPCRW | 76.30 | 79.47 | 77.85 |
| segSeq2Seq | 73.44 | 73.04 | 73.24 |
| attnsegSeq2Seq | 90.77 | 90.3 | 90.53 | | 0 |
| Graph | Accuracy | |
| --- | --- | --- |
| subjectA | subjectB | subjectC | | | GCC | 0.6833 | 0.6414 | 0.6435 |
| --- | --- | --- | --- |
| IdentityMatrix | 0.6616 | 0.6052 | 0.6213 |
| RandomMatrix | 0.5941 | 0.5589 | 0.5332 | | 1 |
| Graph | Accuracy | |
| --- | --- | --- |
| subjectA | subjectB | subjectC | | | SupervisedPCRW | 76.30 | 79.47 | 77.85 |
| --- | --- | --- | --- |
| segSeq2Seq | 73.44 | 73.04 | 73.24 |
| attnsegSeq2Seq | 90.77 | 90.3 | 90.53 | | 0 |
| Subject-verbtask | | | |
| --- | --- | --- | --- |
| Model | Inclusion | KL-divαSkewWeedsPrecClarkeDEAPincbalAPinc | SAPincSBalAPinc |
| Verb | 0.59 | 0.590.630.670.570.690.65 | 0.650.65 |
| (cid:12)<br>min<br>+<br>max | 0.54<br>0.54<br>0.63<br>0.63 | 0.660.750.750.660.780.72<br>0.680.720.750.630.780.71<br>0.570.7... | | (cid:12)<br>min<br>+<br>max | 0.52<br>0.52<br>0.64<br>0.64 | 0.640.740.700.670.750.70<br>0.660.700.710.630.750.69<br>0.610.750.680.630.740.71<br>0.620.730.680.620.720.68 | 0.820.79<br>0.740.74<br>0.720.73<br>0.620.66 |
| --- | --- | --- | --- |
| Least-Sqr<br>⊗proj<br>⊗rel/frob | 0.50<br>0.58<br>0.52 | 0.580.570.560.... | 1 |
| Subject-verbtask | | | |
| --- | --- | --- | --- |
| Model | Inclusion | KL-divαSkewWeedsPrecClarkeDEAPincbalAPinc | SAPincSBalAPinc |
| Verb | 0.59 | 0.590.630.670.570.690.65 | 0.650.65 |
| (cid:12)<br>min<br>+<br>max | 0.54<br>0.54<br>0.63<br>0.63 | 0.660.750.750.660.780.72<br>0.680.720.750.630.780.71<br>0.570.7... | | Object | Method | MaxF1 | Runtime[s] |
| --- | --- | --- | --- |
| Chef<br>(28940) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.13<br>0.22<br>0.67<br>0.64<br>0.85 | -<br>0.012<br>1.7<br>1.9<br>0.33 |
| Para<br>(16732) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.11<br>0.15<br>0.57<br>0.54<br>0.71 ... | 0 |
| Subject-verbtask | | | |
| --- | --- | --- | --- |
| Model | Inclusion | KL-divαSkewWeedsPrecClarkeDEAPincbalAPinc | SAPincSBalAPinc |
| Verb | 0.59 | 0.590.630.670.570.690.65 | 0.650.65 |
| (cid:12)<br>min<br>+<br>max | 0.54<br>0.54<br>0.63<br>0.63 | 0.660.750.750.660.780.72<br>0.680.720.750.630.780.71<br>0.570.7... | | Verb | 0.58 | 0.620.650.670.580.690.66 | 0.620.66 |
| --- | --- | --- | --- |
| (cid:12)<br>min<br>+<br>max | 0.52<br>0.52<br>0.64<br>0.64 | 0.640.740.700.670.750.70<br>0.660.700.710.630.750.69<br>0.610.750.680.630.740.71<br>0.620.730.680.620.720.68 | 0.820.79<br>0.740.74<br>0.720.73<br>0.620.66 |
| Least-Sqr<br>⊗pro... | 1 |
| Subject-verbtask | | | |
| --- | --- | --- | --- |
| Model | Inclusion | KL-divαSkewWeedsPrecClarkeDEAPincbalAPinc | SAPincSBalAPinc |
| Verb | 0.59 | 0.590.630.670.570.690.65 | 0.650.65 |
| (cid:12)<br>min<br>+<br>max | 0.54<br>0.54<br>0.63<br>0.63 | 0.660.750.750.660.780.72<br>0.680.720.750.630.780.71<br>0.570.7... | | Para<br>(16732) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.11<br>0.15<br>0.57<br>0.54<br>0.71 | -<br>0.0058<br>0.64<br>0.77<br>0.16 |
| --- | --- | --- | --- |
| T-rex<br>(15851) | Ldistance2<br>Ratio<br>GC<br>GC+RANSAC<br>Voting | 0.10<br>0.11<br>0.56<br>0.47<br>0.78 | -<br>0.0051<br>0.56<br>0.65<br>0.13... | 0 |
| AP@N |
| --- |
| 12345 | | | 0.300.220.180.150.13<br>0.250.190.160.150.13 |
| --- |
| 0.090.090.090.070.07<br>0.150.120.100.080.09<br>0.080.090.090.070.07<br>0.150.130.120.110.09<br>0.160.140.130.110.09<br>0.100.090.090.070.07<br>0.180.120.110.090.09<br>0.180.130.110.090.09 |
| 0.200.150.130.100.09<br>0.290.200.170.140.11<br>0.340.240.200.170.15... | 1 |
| AP@N |
| --- |
| 12345 | | | #Params | RVD | |
| --- | --- | --- |
| @1 | @10 | |
| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |
| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |
| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 | | 0 |
| AP@N |
| --- |
| 12345 | | | 0.300.220.180.150.13<br>0.250.190.160.150.13 |
| --- |
| 0.090.090.090.070.07<br>0.150.120.100.080.09<br>0.080.090.090.070.07<br>0.150.130.120.110.09<br>0.160.140.130.110.09<br>0.100.090.090.070.07<br>0.180.120.110.090.09<br>0.180.130.110.090.09 |
| 0.200.150.130.100.09<br>0.290.200.170.140.11<br>0.340.240.200.170.15... | 1 |
| AP@N |
| --- |
| 12345 | | | 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |
| --- | --- | --- |
| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |
| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 | | 0 |
| Concentr.(mg/ml) | Particlenumber | Meanlength(µm) | std | Meanlength(µm) | std |
| --- | --- | --- | --- | --- | --- |
| - | - | simulation | sim. | experiment | exp. | | | 0.563 | 311 | 34.02 | 23.72 | 31 | 16 |
| --- | --- | --- | --- | --- | --- |
| 1.125 | 385 | 59.14 | 43.19 | 59 | 36 |
| 2.25 | 336 | 108.93 | 83.79 | 137 | 85 |
| 4.5 | 307 | 201.49 | 109.42 | 317 | 195 | | 1 |
| Concentr.(mg/ml) | Particlenumber | Meanlength(µm) | std | Meanlength(µm) | std |
| --- | --- | --- | --- | --- | --- |
| - | - | simulation | sim. | experiment | exp. | | | Statistics | Integratorusedwithsamplingfilter | |
| --- | --- | --- |
| | | |
| Min | 0.304178 | 1.234498 |
| Max | 2.671971 | 2.350684 |
| Mean | 0.439776 | 1.699096 |
| Std | 0.274643 | 0.250088 |
| Mean+2∗std | 0.989062 | 2.199272 |
| Mean−2∗std | -0.109510 | 1.198920 | | 0 |
| Concentr.(mg/ml) | Particlenumber | Meanlength(µm) | std | Meanlength(µm) | std |
| --- | --- | --- | --- | --- | --- |
| - | - | simulation | sim. | experiment | exp. |
| 0.563 | 311 | 34.02 | 23.72 | 31 | 16 | | | 1.125 | 385 | 59.14 | 43.19 | 59 | 36 |
| --- | --- | --- | --- | --- | --- |
| 2.25 | 336 | 108.93 | 83.79 | 137 | 85 |
| 4.5 | 307 | 201.49 | 109.42 | 317 | 195 | | 1 |
| Concentr.(mg/ml) | Particlenumber | Meanlength(µm) | std | Meanlength(µm) | std |
| --- | --- | --- | --- | --- | --- |
| - | - | simulation | sim. | experiment | exp. |
| 0.563 | 311 | 34.02 | 23.72 | 31 | 16 | | | Mean+2∗std | 0.989062 | 2.199272 |
| --- | --- | --- |
| Mean−2∗std | -0.109510 | 1.198920 | | 0 |
| Filter | GS | BF | BFG | BFPL | GF | AMF | RF | TF | RGF | MF | WMF | BM3D | L0 | RTV |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| InitGT | 27.75 | 25.50 | 25.67 | 27.85 | 28.21 | 27.36 | 27.80 | 28.75 | 30.06 | 26.01 | 33.00 | 32.27 | 26.86 | 25.34 |
| FinalGT | 41.... | | BestGT | 41.70 | 45.28 | 37.70 | 36.92 | 51.05 | 48.10 | 31.16 | 29.21 | 44.20 | 26.07 | 35.43 | 38.84 | 28.99 | 30.27 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| InitDT | 36.62 | 33.12 | 32.72 | 33.36 | 32.49 | 30.66 | 29.11 | 26.85 | 37.27 | 37.08 | 35.72 | 38.61 ... | 1 |
| Filter | GS | BF | BFG | BFPL | GF | AMF | RF | TF | RGF | MF | WMF | BM3D | L0 | RTV |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| InitGT | 27.75 | 25.50 | 25.67 | 27.85 | 28.21 | 27.36 | 27.80 | 28.75 | 30.06 | 26.01 | 33.00 | 32.27 | 26.86 | 25.34 |
| FinalGT | 41.... | | | m2 | m3 | m4 | m5 | m6 |
| --- | --- | --- | --- | --- | --- |
| Nsw | 9530 | 9530 | 9530 | 9530 | 9530 |
| N | 9159 | 9159 | 9159 | 9159 | 9159 |
| Ksw | 22305 | 43894 | 64161 | 83192 | 101104 |
| K | 14627 | 28494 | 41472 | 53596 | 64840 |
| Lsw | 3.59 | 2.92 | 2.70 | 2.55 | 2.45 |
| L | 6.42 | 4.73 | 4.12 | 3.7... | 0 |
| Filter | GS | BF | BFG | BFPL | GF | AMF | RF | TF | RGF | MF | WMF | BM3D | L0 | RTV |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| InitGT | 27.75 | 25.50 | 25.67 | 27.85 | 28.21 | 27.36 | 27.80 | 28.75 | 30.06 | 26.01 | 33.00 | 32.27 | 26.86 | 25.34 |
| FinalGT | 41.... | | FinalDT | 79.07 | 80.49 | 64.21 | 54.32 | 87.94 | 53.02 | 60.22 | 36.00 | 45.55 | N/A | 35.65 | 57.50 | 36.51 | 45.10 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| BestDT | 79.07 | 80.50 | 66.39 | 54.82 | 87.94 | 53.26 | 60.22 | 36.28 | 45.67 | 38.49 | 39.16 | 57.98 |... | 1 |
| Filter | GS | BF | BFG | BFPL | GF | AMF | RF | TF | RGF | MF | WMF | BM3D | L0 | RTV |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| InitGT | 27.75 | 25.50 | 25.67 | 27.85 | 28.21 | 27.36 | 27.80 | 28.75 | 30.06 | 26.01 | 33.00 | 32.27 | 26.86 | 25.34 |
| FinalGT | 41.... | | L | 6.42 | 4.73 | 4.12 | 3.79 | 3.58 |
| --- | --- | --- | --- | --- | --- |
| Dsw | 16 | 9 | 7 | 6 | 6 |
| D | 26 | 15 | 11 | 10 | 8 |
| Csw | 0.15 | 0.55 | 0.63 | 0.66 | 0.68 |
| C | 0.01 | 0.47 | 0.56 | 0.60 | 0.64 |
| ωsw | 5 | 5 | 5 | 5 | 5 |
| ω | 15 | 15 | 15 | 15 | 15 | | 0 |
| m=1 | m=2 | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| s=0 | s=1 | s=2 | s=3 | s=4 | s=0 | s=1 | s=2 | s=3 | s=0 |
| 100 | 100 | 100 | 99 | 100 | 100 | 100 | 100 | 100 | 100 |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
| 99 | 100 | 100 | 100 | 100 | 99 |... | | 99 | 99 | 97 | 98 | 97 | 98 | 100 | 99 | 100 | 98 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 82 | 75 | 78 | 83 | 75 | 74 | 76 | 81 | 75 | 85 |
| 100 | 100 | 99 | 99 | 99 | 99 | 100 | 99 | 100 | 99 |
| 98 | 97 | 99 | 99 | 100 | 99 | 99 | 99 | 99 | 100 |
| 100 | 100 | 100 | 100 | 98 | 100 | 99 | ... | 1 |
| m=1 | m=2 | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| s=0 | s=1 | s=2 | s=3 | s=4 | s=0 | s=1 | s=2 | s=3 | s=0 |
| 100 | 100 | 100 | 99 | 100 | 100 | 100 | 100 | 100 | 100 |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
| 99 | 100 | 100 | 100 | 100 | 99 |... | | | e=0 | e=1 | e=2 | e=3 | e=4 | e=5 |
| --- | --- | --- | --- | --- | --- | --- |
| m=1 | 0.002 | 0.002 | 0.003 | 0.920 | 0.918 | 0.918 |
| m=2 | 0.003 | 0.003 | 0.003 | 0.983 | 0.982 | 0.982 |
| m=3 | 0.002 | 0.003 | 0.003 | 0.995 | 0.995 | 0.995 |
| m=4 | 0.016 | 0.003 | 0.003 | 0.997 | 1.001 | 1.001 |
| m=5 | 0.7... | 0 |
| m=1 | m=2 | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| s=0 | s=1 | s=2 | s=3 | s=4 | s=0 | s=1 | s=2 | s=3 | s=0 |
| 100 | 100 | 100 | 99 | 100 | 100 | 100 | 100 | 100 | 100 |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | | | 99 | 100 | 100 | 100 | 100 | 99 | 99 | 100 | 100 | 100 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 99 | 99 | 100 | 99 | 100 | 100 | 100 | 100 | 100 | 100 |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
| 99 | 99 | 97 | 98 | 97 | 98 | 100 | 99 | 100 | 98 |
| 82 | 75 | 78 | 83 | 75... | 1 |
| m=1 | m=2 | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| s=0 | s=1 | s=2 | s=3 | s=4 | s=0 | s=1 | s=2 | s=3 | s=0 |
| 100 | 100 | 100 | 99 | 100 | 100 | 100 | 100 | 100 | 100 |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | | | m=5 | 0.775 | 0.002 | 0.003 | 0.994 | 0.999 | 0.998 |
| --- | --- | --- | --- | --- | --- | --- |
| m=6 | 0.979 | 0.002 | 0.003 | 0.995 | 0.999 | 0.999 |
| m=7 | 0.996 | 0.002 | 0.003 | 0.995 | 0.999 | 0.999 |
| m=8 | 0.998 | 0.002 | 0.003 | 0.995 | 1.000 | 1.000 |
| m=9 | 1.001 | 0.002 | 0.003 | 0.995 | 1.000 | 1.00... | 0 |
| | Manu.Segmentation | Interact.Segmentation | Dice | | |
| --- | --- | --- | --- | --- | --- |
| User1 | User2 | User3 | | | |
| LeftEyeBall | 3min35sec | 2min | 0.85 | 0.88 | 0.84 |
| RightEyeBall | 3min25sec | 1min30sec | 0.87 | 0.94 | 0.87 | | | BrainStem | 9min2sec | 5min30sec | 0.86 | 0.85 | 0.80 |
| --- | --- | --- | --- | --- | --- |
| Mandible | 29min37sec | 10min15sec | 0.81 | 0.90 | 0.86 | | 1 |
| | Manu.Segmentation | Interact.Segmentation | Dice | | |
| --- | --- | --- | --- | --- | --- |
| User1 | User2 | User3 | | | |
| LeftEyeBall | 3min35sec | 2min | 0.85 | 0.88 | 0.84 |
| RightEyeBall | 3min25sec | 1min30sec | 0.87 | 0.94 | 0.87 | | | | Manu.Segmentation | Interact.Segmentation | Dice | | |
| --- | --- | --- | --- | --- | --- |
| LeftVentricle | RightVentricle | LeftAtrium | | | |
| Case1 | 157min46sec | 18min46sec | 0.90 | 0.90 | 0.89 |
| Case2 | 131min26sec | 13min45sec | 0.90 | 0.87 | 0.92 |
| Case3 | 88min29sec | 13min35sec | 0.91 | 0.84... | 0 |
| | Manu.Segmentation | Interact.Segmentation | Dice | | |
| --- | --- | --- | --- | --- | --- |
| User1 | User2 | User3 | | | |
| LeftEyeBall | 3min35sec | 2min | 0.85 | 0.88 | 0.84 |
| RightEyeBall | 3min25sec | 1min30sec | 0.87 | 0.94 | 0.87 | | | BrainStem | 9min2sec | 5min30sec | 0.86 | 0.85 | 0.80 |
| --- | --- | --- | --- | --- | --- |
| Mandible | 29min37sec | 10min15sec | 0.81 | 0.90 | 0.86 | | 1 |
| | Manu.Segmentation | Interact.Segmentation | Dice | | |
| --- | --- | --- | --- | --- | --- |
| User1 | User2 | User3 | | | |
| LeftEyeBall | 3min35sec | 2min | 0.85 | 0.88 | 0.84 |
| RightEyeBall | 3min25sec | 1min30sec | 0.87 | 0.94 | 0.87 | | | Case1 | 157min46sec | 18min46sec | 0.90 | 0.90 | 0.89 |
| --- | --- | --- | --- | --- | --- |
| Case2 | 131min26sec | 13min45sec | 0.90 | 0.87 | 0.92 |
| Case3 | 88min29sec | 13min35sec | 0.91 | 0.84 | 0.93 | | 0 |
| δx(µm) | δt(µs) | 1/δt | #CellsModelB | #CellsModelA |
| --- | --- | --- | --- | --- |
| 128 | 29.0044 | 34477 | 208130 | 81516 |
| 64 | 7.2511 | 137910 | 1751495 | 714128 |
| 48 | 4.0787 | 245176 | 4206178 | 1730890 | | | 32 | 1.8128 | 551633 | 14366575 | 5967144 |
| --- | --- | --- | --- | --- |
| 16 | 0.4532 | 2206531 | 116370643 | 48787963 |
| 8 | 0.1133 | 8826125 | 929916251 | 394432233 | | 1 |
| δx(µm) | δt(µs) | 1/δt | #CellsModelB | #CellsModelA |
| --- | --- | --- | --- | --- |
| 128 | 29.0044 | 34477 | 208130 | 81516 |
| 64 | 7.2511 | 137910 | 1751495 | 714128 |
| 48 | 4.0787 | 245176 | 4206178 | 1730890 | | | δ | C=2δ+1 | C=C+1 | K1 | K2 | Notes |
| --- | --- | --- | --- | --- | --- |
| 3 | 7 | 8 | 1 | 2 | |
| 4 | 9 | 10 | 1 | 3 | |
| 4 | 9 | 10 | 2 | 2 | |
| 5 | 11 | 12 | 1 | 4 | |
| 5 | 11 | 12 | 2 | 3 | |
| 6 | 13 | 14 | 1 | 5 | |
| 6 | 13 | 14 | 2 | 4 | |
| 6 | 13 | 14 | 3 | 3 | |
| 7 | 15 | 16 | 1 | 6 | |
| ... | 0 |
| δx(µm) | δt(µs) | 1/δt | #CellsModelB | #CellsModelA |
| --- | --- | --- | --- | --- |
| 128 | 29.0044 | 34477 | 208130 | 81516 |
| 64 | 7.2511 | 137910 | 1751495 | 714128 |
| 48 | 4.0787 | 245176 | 4206178 | 1730890 | | | 32 | 1.8128 | 551633 | 14366575 | 5967144 |
| --- | --- | --- | --- | --- |
| 16 | 0.4532 | 2206531 | 116370643 | 48787963 |
| 8 | 0.1133 | 8826125 | 929916251 | 394432233 | | 1 |
| δx(µm) | δt(µs) | 1/δt | #CellsModelB | #CellsModelA |
| --- | --- | --- | --- | --- |
| 128 | 29.0044 | 34477 | 208130 | 81516 |
| 64 | 7.2511 | 137910 | 1751495 | 714128 |
| 48 | 4.0787 | 245176 | 4206178 | 1730890 | | | 6 | 13 | 14 | 1 | 5 | |
| --- | --- | --- | --- | --- | --- |
| 6 | 13 | 14 | 2 | 4 | |
| 6 | 13 | 14 | 3 | 3 | |
| 7 | 15 | 16 | 1 | 6 | |
| 7 | 15 | 16 | 2 | 5 | |
| 7 | 15 | 16 | 3 | 4 | |
| 8 | 17 | 18 | 1 | 7 | |
| 8 | 17 | 18 | 2 | 6 | |
| 8 | 17 | 18 | 3 | 5 | |
| 8 | 17 | 18 | 4 | 4 | |
| 9 | 19 | 2... | 0 |
| 114 | 114 | 2 | 0.020s | 0.008s | 0.017s | 0.028s |
| --- | --- | --- | --- | --- | --- | --- |
| 682 | 676 | 0 | 0.058s | 0.036s | 0.053s | 0.073s |
| 2,286 | 2,254 | 8 | 0.22s | 0.10s | 0.11s | 0.16s |
| 7,397 | 7,163 | 28 | 0.64s | 0.29s | 0.26s | 0.37s |
| 19,619 | 18,315 | 94 | 2.87s | 0.79s | 0.49s | 0.70s |
| ... | | 1,625,520 | 827,469 | 2,244 | 9m17s | 50s | 16.8s | 20.3s |
| --- | --- | --- | --- | --- | --- | --- |
| 11,040,912 | 5,044,441 | 5,582 | 82m33s | 5m2s | 1m5s | 1m3s |
| | 36,633,391 | 14,872 | | 46m59s | 8m30s | 6m20s |
| | 264,463,730 | 49,114 | | 6h22m56s | 67m31s | 46m37s |
| | 1,852,158,881 | 145,276 | | ... | 1 |
| 114 | 114 | 2 | 0.020s | 0.008s | 0.017s | 0.028s |
| --- | --- | --- | --- | --- | --- | --- |
| 682 | 676 | 0 | 0.058s | 0.036s | 0.053s | 0.073s |
| 2,286 | 2,254 | 8 | 0.22s | 0.10s | 0.11s | 0.16s |
| 7,397 | 7,163 | 28 | 0.64s | 0.29s | 0.26s | 0.37s |
| 19,619 | 18,315 | 94 | 2.87s | 0.79s | 0.49s | 0.70s |
| ... | | 104.4 | 92.7 | 46.1 | 68.5 | 51.0 | 36.3 | 75.9 | 87.6 | 32.7 | 177.1 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 90.7 | 80.9 | 82.3 | 104.3 | 3190.5 | 39.4 | 68.9 | 88.8 | 31.6 | 182.8 |
| 69.2 | 64.6 | 44.1 | 64.3 | 40.4 | 31.1 | 53.2 | 63.6 | 27.4 | 124.7 |
| 65.9 | 62.0 | 58.7 | 79.9 | 141.5... | 0 |
| 114 | 114 | 2 | 0.020s | 0.008s | 0.017s | 0.028s |
| --- | --- | --- | --- | --- | --- | --- |
| 682 | 676 | 0 | 0.058s | 0.036s | 0.053s | 0.073s |
| 2,286 | 2,254 | 8 | 0.22s | 0.10s | 0.11s | 0.16s |
| 7,397 | 7,163 | 28 | 0.64s | 0.29s | 0.26s | 0.37s |
| 19,619 | 18,315 | 94 | 2.87s | 0.79s | 0.49s | 0.70s |
| ... | | | 36,633,391 | 14,872 | | 46m59s | 8m30s | 6m20s |
| --- | --- | --- | --- | --- | --- | --- |
| | 264,463,730 | 49,114 | | 6h22m56s | 67m31s | 46m37s |
| | 1,852,158,881 | 145,276 | | | 10h25m45s | 7h43m57s | | 1 |
| 114 | 114 | 2 | 0.020s | 0.008s | 0.017s | 0.028s |
| --- | --- | --- | --- | --- | --- | --- |
| 682 | 676 | 0 | 0.058s | 0.036s | 0.053s | 0.073s |
| 2,286 | 2,254 | 8 | 0.22s | 0.10s | 0.11s | 0.16s |
| 7,397 | 7,163 | 28 | 0.64s | 0.29s | 0.26s | 0.37s |
| 19,619 | 18,315 | 94 | 2.87s | 0.79s | 0.49s | 0.70s |
| ... | | 69.2 | 64.6 | 44.1 | 64.3 | 40.4 | 31.1 | 53.2 | 63.6 | 27.4 | 124.7 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 65.9 | 62.0 | 58.7 | 79.9 | 141.5 | 29.5 | 46.4 | 65.3 | 26.0 | 131.1 |
| 91.6 | 82.9 | 82.0 | 105.0 | 124.2 | 35.6 | 76.5 | 104.0 | 30.8 | 189.3 | | 0 |
| YG24K |
| --- |
| RMSEMAER |
| 0.3740.308-0.777<br>0.4440.363-1.322<br>0.3020.257-0.145 | | | 0.2890.251-0.004<br>0.2870.248-0.004<br>0.2930.2560.002<br>0.2900.251-0.006<br>0.2880.2490.000 |
| --- |
| 0.0650.0130.879 | | 1 |
| YG24K |
| --- |
| RMSEMAER |
| 0.3740.308-0.777<br>0.4440.363-1.322<br>0.3020.257-0.145 | | | | JavaSHA1PRNG | DRBG-SHA1 | DRBG-SHA256(1000) | DRBG-SHA256(10000) |
| --- | --- | --- | --- | --- |
| ∆wlil,0.1 | 0.140 | 0.194 | 0.200 | 0.045 |
| ∆wlil,0.05 | 0.276 | 0.224 | 0.289 | 0.063 |
| RMSDwlil,0.1 | 0.004647 | 0.003741 | 0.004984 | 0.00118 |
| RMSDwlil,0.05 | 0.004042 | 0.003023 | 0.004423 | 0.001107 | | 0 |
| YG24K |
| --- |
| RMSEMAER | | | 0.3740.308-0.777<br>0.4440.363-1.322<br>0.3020.257-0.145 |
| --- |
| 0.2890.251-0.004<br>0.2870.248-0.004<br>0.2930.2560.002<br>0.2900.251-0.006<br>0.2880.2490.000 |
| 0.0650.0130.879 | | 1 |
| YG24K |
| --- |
| RMSEMAER | | | ∆wlil,0.05 | 0.276 | 0.224 | 0.289 | 0.063 |
| --- | --- | --- | --- | --- |
| RMSDwlil,0.1 | 0.004647 | 0.003741 | 0.004984 | 0.00118 |
| RMSDwlil,0.05 | 0.004042 | 0.003023 | 0.004423 | 0.001107 | | 0 |
| Totalnumberofdialogues | 1092 |
| --- | --- |
| Totalnumberofutterances | 10114 |
| Totalnumberofwords | 33477 | | | Totalnumberofsemanticunits | 14584 |
| --- | --- |
| Differentclassesofsemanticunits | 38 | | 1 |
| Totalnumberofdialogues | 1092 |
| --- | --- |
| Totalnumberofutterances | 10114 |
| Totalnumberofwords | 33477 | | | Numberofwriters | 16 |
| --- | --- |
| Numberofpages | 176 |
| Numberoflines | 1717 |
| NumberofWords | 12853 |
| OOVwords | 1066 | | 0 |
| Totalnumberofdialogues | 1092 |
| --- | --- |
| Totalnumberofutterances | 10114 |
| Totalnumberofwords | 33477 | | | Totalnumberofsemanticunits | 14584 |
| --- | --- |
| Differentclassesofsemanticunits | 38 | | 1 |
| Totalnumberofdialogues | 1092 |
| --- | --- |
| Totalnumberofutterances | 10114 |
| Totalnumberofwords | 33477 | | | Numberoflines | 1717 |
| --- | --- |
| NumberofWords | 12853 |
| OOVwords | 1066 | | 0 |
| Method | Faceclustering | Motionsegmentation | |
| --- | --- | --- | --- |
| Scenario1 | Scenario2 | | |
| LRR | λ=0.18 | λ=4 | |
| LSA | K=3,d=5 | K=8,d=5 | |
| SSC | λ=8/µee | λ=20/µee | λ=800/µzz | | | LRSC | τ=0.4,α=0.045 | τ=0.045,α=0.045 | τ=420,α=3000orα=5000 |
| --- | --- | --- | --- |
| SCLD | ρ=0.08 | ρ=0.03 | ρ=55 | | 1 |
| Method | Faceclustering | Motionsegmentation | |
| --- | --- | --- | --- |
| Scenario1 | Scenario2 | | |
| LRR | λ=0.18 | λ=4 | |
| LSA | K=3,d=5 | K=8,d=5 | |
| SSC | λ=8/µee | λ=20/µee | λ=800/µzz | | | Method | 1500 | 5000 | 20000 | 80000 |
| --- | --- | --- | --- | --- |
| DC | (0.0553,0.2692) | (0.0286,0.1292) | (0.0144,0.0738) | (0.0072,0.0401) |
| HF | (0.0881,0.9840) | (0.0473,0.5649) | (0.0210,0.5558) | (0.0093,0.5570) |
| BD | (0.1333,1.307) | (0.0781,1.285) | (0.0445,1.482) | (0.0277,1.324) |
| (d,d)2∞ | |... | 0 |
| Method | Faceclustering | Motionsegmentation |
| --- | --- | --- |
| Scenario1 | Scenario2 | |
| LRR | λ=0.18 | λ=4 |
| LSA | K=3,d=5 | K=8,d=5 | | | SSC | λ=8/µee | λ=20/µee | λ=800/µzz |
| --- | --- | --- | --- |
| LRSC | τ=0.4,α=0.045 | τ=0.045,α=0.045 | τ=420,α=3000orα=5000 |
| SCLD | ρ=0.08 | ρ=0.03 | ρ=55 | | 1 |
| Method | Faceclustering | Motionsegmentation |
| --- | --- | --- |
| Scenario1 | Scenario2 | |
| LRR | λ=0.18 | λ=4 |
| LSA | K=3,d=5 | K=8,d=5 | | | BD | (0.1333,1.307) | (0.0781,1.285) | (0.0445,1.482) | (0.0277,1.324) |
| --- | --- | --- | --- | --- |
| (d,d)2∞ | | | | |
| DC | 0.096 | 0.584 | 3.11 | 24.5 |
| HF | 0.987 | 3.14 | 12.0 | 47.3 |
| BD | 74.2 | 227 | 940 | 4204 |
| timing(sec) | | | | | | 0 |
| -classe1800(attendus=169,ramenes=74.00,corrects=4.00)<br>rappel=0.024precision=0.054f-mesure=0.033 |
| --- |
| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 | | | -classe1820(attendus=169,ramenes=210.00,corrects=31.00)<br>rappel=0.183precision=0.148f-mesure=0.164 |
| --- |
| -classe1830(attendus=169,ramenes=545.00,corrects=51.00)<br>rappel=0.302precision=0.094f-mesure=0.143 |
| -classe1840(attendus=169,ramenes=90.00,corrects=8.00)<br>rappel=0.047precision=0.089f-mesure=0.062 |... | 1 |
| -classe1800(attendus=169,ramenes=74.00,corrects=4.00)<br>rappel=0.024precision=0.054f-mesure=0.033 |
| --- |
| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 | | | -classe1800(attendus=169,ramenes=74.00,corrects=4.00)<br>rappel=0.024precision=0.054f-mesure=0.033 |
| --- |
| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |
| -classe1820(attendus=169,ramenes=210.00,corrects=31.00)<br>rappel=0.183precision=0.148f-mesure=0.164 |
... | 0 |
| -classe1800(attendus=169,ramenes=74.00,corrects=4.00)<br>rappel=0.024precision=0.054f-mesure=0.033 |
| --- |
| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |
| -classe1820(attendus=169,ramenes=210.00,corrects=31.00)<br>rappel=0.183precision=0.148f-mesure=0.164 |
... | | -classe1930(attendus=200,ramenes=111.00,corrects=8.00)<br>rappel=0.040precision=0.072f-mesure=0.051 |
| --- |
| -classe1940(attendus=198,ramenes=525.00,corrects=75.00)<br>rappel=0.379precision=0.143f-mesure=0.207 |
| -surl’ensembledes15classes<br>macrorappel=0.100macroprecision=0.091macroF-mesure=0.095 | | 1 |
| -classe1800(attendus=169,ramenes=74.00,corrects=4.00)<br>rappel=0.024precision=0.054f-mesure=0.033 |
| --- |
| -classe1810(attendus=169,ramenes=86.00,corrects=17.00)<br>rappel=0.101precision=0.198f-mesure=0.133 |
| -classe1820(attendus=169,ramenes=210.00,corrects=31.00)<br>rappel=0.183precision=0.148f-mesure=0.164 |
... | | -classe1900(attendus=203,ramenes=276.00,corrects=21.00)<br>rappel=0.103precision=0.076f-mesure=0.088 |
| --- |
| -classe1910(attendus=201,ramenes=72.00,corrects=3.00)<br>rappel=0.015precision=0.042f-mesure=0.022 |
| -classe1920(attendus=200,ramenes=138.00,corrects=13.00)<br>rappel=0.065precision=0.094f-mesure=0.077 |... | 0 |
| test<br>dataset | upscaling<br>factor | Bicubic | SRF | SRCNN | SRCNN-Ex | SCN | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | | | |
| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | -<br>-<br>- | 36.84<br>32.46<b... | | Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | -<br>-<br>- | 32.73<br>29.21<br>28.40 | 1.7<br>2.5<br>2.0 | 32.45<br>29.01<br>28.27 | 0.18<br>0.39<br>0.23 | 32.83<br>29.26<br>28.47 | 1.3<br>2.8<br>1.7 | 33.04<br>29.37<br>28.54 | 1.8<br>3.6<br>2.4 | 32.55<br>29.08<br>28.32 |
| --- | --- | --- | --- |... | 1 |
| test<br>dataset | upscaling<br>factor | Bicubic | SRF | SRCNN | SRCNN-Ex | SCN | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | | | |
| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | -<br>-<br>- | 36.84<br>32.46<b... | | test<br>dataset | upscaling<br>factor | Bicubic | KK | A+ | SRF | SRCNN | SRCNN-Ex | SCN | FSRCNN-s | FSRCNN |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | |
| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | 36.20<br>32.11<br>31.30 | 36.55<br>3... | 0 |
| test<br>dataset | upscaling<br>factor | Bicubic | SRF | SRCNN | SRCNN-Ex | SCN | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | | | |
| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | -<br>-<br>- | 36.84<br>32.46<b... | | Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | -<br>-<br>- | 32.73<br>29.21<br>28.40 | 1.7<br>2.5<br>2.0 | 32.45<br>29.01<br>28.27 | 0.18<br>0.39<br>0.23 | 32.83<br>29.26<br>28.47 | 1.3<br>2.8<br>1.7 | 33.04<br>29.37<br>28.54 | 1.8<br>3.6<br>2.4 | 32.55<br>29.08<br>28.32 |
| --- | --- | --- | --- |... | 1 |
| test<br>dataset | upscaling<br>factor | Bicubic | SRF | SRCNN | SRCNN-Ex | SCN | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | | | |
| Set5<br>Set14<br>BSD200 | 2<br>2<br>2 | 33.66<br>30.23<br>29.70 | -<br>-<br>- | 36.84<br>32.46<b... | | Set5<br>Set14<br>BSD200 | 3<br>3<br>3 | 30.39<br>27.54<br>27.26 | 32.28<br>28.94<br>28.19 | 32.59<br>29.13<br>28.36 | 32.72<br>29.23<br>28.45 | 32.39<br>29.00<br>28.28 | 32.75<br>29.30<br>28.48 | 33.10<br>29.41<br>28.54 | 32.61<br>29.13<br>28.32 | 33.16<br>29.43<br>28.60 |
| --- | --- | --- | --- | --- | --- | --- | ... | 0 |
| σ/PSNR | 25/20.17 | 50/14.15 | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | Ours | | | Ours |
| Lena | 31.80 | 32.26 | 31.96 | 28.96 | 29.30 | 29.13 |
| Barbara | 30.47 | 30.90 | 30.39 | 27.35 | 27.78 | 27.15 |
| Boats | 29.70 | 29.88 | 29.66 | 26.69 | 26.91 | 26.81 |
| Fprint | 27.34 | 27.32 ... | | Peppers | 24.72 | 24.98 | 25.13 | 23.21 | 23.56 | 23.68 |
| --- | --- | --- | --- | --- | --- | --- |
| Average | 25.44 | 25.55 | 25.62 | 24.16 | 24.32 | 24.29 | | 1 |
| σ/PSNR | 25/20.17 | 50/14.15 | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | Ours | | | Ours |
| Lena | 31.80 | 32.26 | 31.96 | 28.96 | 29.30 | 29.13 |
| Barbara | 30.47 | 30.90 | 30.39 | 27.35 | 27.78 | 27.15 |
| Boats | 29.70 | 29.88 | 29.66 | 26.69 | 26.91 | 26.81 |
| Fprint | 27.34 | 27.32 ... | | Image | Method | Test1 | Test2 | Test3 | Test4 | Tests5 | Test6 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Lena | | 8.56 | 6.92 | 8.86 | 5.52 | 4.95 | 6.91 |
| ours | 8.38 | 7.08 | 9.30 | 5.48 | 5.22 | 6.30 | |
| Barbara | | 8.06 | 4.57 | 6.01 | 2.20 | 1.41 | 6.06 |
| ours | 7.75 | 4.04 | 5.82 | 1.95 | ... | 0 |
| σ/PSNR | 25/20.17 | 50/14.15 | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | Ours | | | Ours |
| Lena | 31.80 | 32.26 | 31.96 | 28.96 | 29.30 | 29.13 |
| Barbara | 30.47 | 30.90 | 30.39 | 27.35 | 27.78 | 27.15 |
| Boats | 29.70 | 29.88 | 29.66 | 26.69 | 26.91 | 26.81 |
| Fprint | 27.34 | 27.32 ... | | House | 32.54 | 32.37 | 33.05 | 29.64 | 29.56 | 30.21 |
| --- | --- | --- | --- | --- | --- | --- |
| Peppers | 30.01 | 30.33 | 30.38 | 26.75 | 26.93 | 27.09 |
| Average | 30.31 | 30.51 | 30.43 | 27.25 | 27.42 | 27.44 |
| σ/PSNR | 75/10.63 | 100/8.13 | | | | |
| | | | Ours | | | Ours |
| Lena | 27.22 | 27.50... | 1 |
| σ/PSNR | 25/20.17 | 50/14.15 | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | Ours | | | Ours |
| Lena | 31.80 | 32.26 | 31.96 | 28.96 | 29.30 | 29.13 |
| Barbara | 30.47 | 30.90 | 30.39 | 27.35 | 27.78 | 27.15 |
| Boats | 29.70 | 29.88 | 29.66 | 26.69 | 26.91 | 26.81 |
| Fprint | 27.34 | 27.32 ... | | ours | 7.75 | 4.04 | 5.82 | 1.95 | 1.24 | 5.43 | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| House | | 10.44 | 8.79 | 13.11 | 6.38 | 5.95 | 7.56 |
| ours | 10.41 | 9.10 | 13.46 | 6.33 | 6.35 | 6.74 | |
| C.man | | 9.24 | 7.38 | 10.21 | 4.34 | 4.68 | 5.26 |
| ours | 9.26 | 7.59 | 10.40 | 4.58 | 5.22 | 5.... | 0 |
| -classe1800(attendus=169,ramenes=77.00,corrects=3.00)<br>rappel=0.018precision=0.039f-mesure=0.024 |
| --- |
| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |
| -classe1820(attendus=169,ramenes=227.00,corrects=28.00)<br>rappel=0.166precision=0.123f-mesure=0.141 |
... | | -classe1940(attendus=198,ramenes=455.00,corrects=62.00)<br>rappel=0.313precision=0.136f-mesure=0.190 |
| --- |
| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.093macroF-mesure=0.095 | | 1 |
| -classe1800(attendus=169,ramenes=77.00,corrects=3.00)<br>rappel=0.018precision=0.039f-mesure=0.024 |
| --- |
| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |
| -classe1820(attendus=169,ramenes=227.00,corrects=28.00)<br>rappel=0.166precision=0.123f-mesure=0.141 |
... | | -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |
| --- |
| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |
| -classe1820(attendus=169,ramenes=225.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |
... | 0 |
| -classe1800(attendus=169,ramenes=77.00,corrects=3.00)<br>rappel=0.018precision=0.039f-mesure=0.024 |
| --- |
| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |
| -classe1820(attendus=169,ramenes=227.00,corrects=28.00)<br>rappel=0.166precision=0.123f-mesure=0.141 |
... | | -classe1910(attendus=201,ramenes=86.00,corrects=5.00)<br>rappel=0.025precision=0.058f-mesure=0.035 |
| --- |
| -classe1920(attendus=200,ramenes=175.00,corrects=13.00)<br>rappel=0.065precision=0.074f-mesure=0.069 |
| -classe1930(attendus=200,ramenes=106.00,corrects=11.00)<br>rappel=0.055precision=0.104f-mesure=0.072 |... | 1 |
| -classe1800(attendus=169,ramenes=77.00,corrects=3.00)<br>rappel=0.018precision=0.039f-mesure=0.024 |
| --- |
| -classe1810(attendus=169,ramenes=92.00,corrects=19.00)<br>rappel=0.112precision=0.207f-mesure=0.146 |
| -classe1820(attendus=169,ramenes=227.00,corrects=28.00)<br>rappel=0.166precision=0.123f-mesure=0.141 |
... | | -classe1930(attendus=200,ramenes=102.00,corrects=10.00)<br>rappel=0.050precision=0.098f-mesure=0.066 |
| --- |
| -classe1940(attendus=198,ramenes=458.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |
| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 | | 0 |
| Word | ClusterWords | P(c\|w)ij |
| --- | --- | --- |
| subject:1<br>subject:2 | physics,chemistry,math,science<br>mail,letter,email,gmail | 0.27<br>0.72 |
| interest:1<br>interest:2 | information,enthusiasm,question<br>bank,market,finance,investment | 0.65<br>0.32 | | | break:1<br>break:2<br>break:3 | vacation,holiday,trip,spring<br>encryption,cipher,security,privacy<br>if,elseif,endif,loop,continue | 0.52<br>0.22<br>0.23 |
| --- | --- | --- |
| unit:1<br>unit:2 | calculation,distance,mass,length<br>electronics,KWH,digital,signal | 0.25<br>0.69 | | 1 |
| Word | ClusterWords | P(c\|w)ij |
| --- | --- | --- |
| subject:1<br>subject:2 | physics,chemistry,math,science<br>mail,letter,email,gmail | 0.27<br>0.72 |
| interest:1<br>interest:2 | information,enthusiasm,question<br>bank,market,finance,investment | 0.65<br>0.32 | | | Cipher | Model | rounds | #linearequ. | #keybits | #Plaintexts | Pr(Success) |
| --- | --- | --- | --- | --- | --- | --- |
| DES<br>DES | HW<br>HW | 1<br>1 | 349<br>349 | 30<br>48 | 10<br>2<br>12<br>2 | 0.79<br>0.99 |
| DES<br>DES | HW<br>HW | 2<br>2 | 728<br>728 | 6<br>48 | 2<br>12<br>2 | 0.97<br>0.95 |
| DES<br>DES... | 0 |
| Word | ClusterWords | P(c\|w)ij |
| --- | --- | --- |
| subject:1<br>subject:2 | physics,chemistry,math,science<br>mail,letter,email,gmail | 0.27<br>0.72 |
| interest:1<br>interest:2 | information,enthusiasm,question<br>bank,market,finance,investment | 0.65<br>0.32 | | | break:1<br>break:2<br>break:3 | vacation,holiday,trip,spring<br>encryption,cipher,security,privacy<br>if,elseif,endif,loop,continue | 0.52<br>0.22<br>0.23 |
| --- | --- | --- |
| unit:1<br>unit:2 | calculation,distance,mass,length<br>electronics,KWH,digital,signal | 0.25<br>0.69 | | 1 |
| Word | ClusterWords | P(c\|w)ij |
| --- | --- | --- |
| subject:1<br>subject:2 | physics,chemistry,math,science<br>mail,letter,email,gmail | 0.27<br>0.72 |
| interest:1<br>interest:2 | information,enthusiasm,question<br>bank,market,finance,investment | 0.65<br>0.32 | | | DES<br>DES | HD<br>HD | 2<br>2 | 27<br>27 | 16<br>16 | 2<br>16<br>2 | 0.71<br>0.99 |
| --- | --- | --- | --- | --- | --- | --- |
| AES<br>AES | HW<br>HW | Last<br>Last | 1410<br>1410 | 128<br>128 | 2<br>11<br>2 | 0.80<br>0.99 | | 0 |
| Features | RBFKernelSVM | RandomForest | LinearSVM |
| --- | --- | --- | --- |
| Charactern-grams | 73.1 | 75.0 | 66.4 | | | Wordn-grams | 71.4 | 76.7 | 68.0 |
| --- | --- | --- | --- |
| Sarcasmindicativetokens | 66.1 | 72.0 | 70.2 |
| Emoticons | 62.8 | 68.5 | 65.7 |
| Allfeatures | 76.5 | 78.4 | 71.7 | | 1 |
| Features | RBFKernelSVM | RandomForest | LinearSVM |
| --- | --- | --- | --- |
| Charactern-grams | 73.1 | 75.0 | 66.4 | | | WordEmbeddingModel | Classificationaccuracyontestingdataset | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| N=12,920 | N=2,295 | N=2,186 | N=308 | | | | | |
| RF | SVM | RF | SVM | RF | SVM | RF | SVM | |
| GoogleNews+emoji2vec | 59.5 | 60.5 | 54.4 | 59.2 | 55.0 | 59.5 | 54.5 | 5... | 0 |
| Features | RBFKernelSVM | RandomForest | LinearSVM |
| --- | --- | --- | --- |
| Charactern-grams | 73.1 | 75.0 | 66.4 |
| Wordn-grams | 71.4 | 76.7 | 68.0 |
| Sarcasmindicativetokens | 66.1 | 72.0 | 70.2 | | | Emoticons | 62.8 | 68.5 | 65.7 |
| --- | --- | --- | --- |
| Allfeatures | 76.5 | 78.4 | 71.7 | | 1 |
| Features | RBFKernelSVM | RandomForest | LinearSVM |
| --- | --- | --- | --- |
| Charactern-grams | 73.1 | 75.0 | 66.4 |
| Wordn-grams | 71.4 | 76.7 | 68.0 |
| Sarcasmindicativetokens | 66.1 | 72.0 | 70.2 | | | Twitter+(SenseDef.) | 60.0 | 62.4 | 53.6 | 56.2 | 53.7 | 56.7 | 50.6 | 50.6 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| GoogleNews+(SenseAll) | 59.1 | 62.2 | 50.8 | 55.1 | 50.2 | 55.3 | 50.0 | 50.6 |
| Twitter+(SenseAll) | 60.3 | 62.4 | 53.1 | 57.6 | 54.1 | 56.8 | 54.5 | 50.0 | | 0 |
| Example | PTAs | loc./PTA | \|X\| | \|P\| | iter. | \|K\|0 | states | trans. | Time1 | Time2 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SR-latch | 3 | [3,8] | 3 | 3 | 5 | 2 | 4 | 3 | 0.11 | 0.007 | | | Flip-flop | 5 | [4,16] | 5 | 12 | 9 | 6 | 11 | 10 | 1.6 | 0.122 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| And–Or | 3 | [4,8] | 4 | 12 | 14 | 4 | 13 | 13 | 1.81 | 0.15 |
| ValmemLatch | 7 | [2,5] | 8 | 13 | 12 | 6 | 18 | 17 | 14.4 | 0.345 |
| CSMA/CD | 3 | [3,8] | 3 | 3 | 19 | 2 | 219 | 34... | 1 |
| Example | PTAs | loc./PTA | \|X\| | \|P\| | iter. | \|K\|0 | states | trans. | Time1 | Time2 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SR-latch | 3 | [3,8] | 3 | 3 | 5 | 2 | 4 | 3 | 0.11 | 0.007 | | | Example | PTAs | loc./PTA | \|X\| | \|P\| | \|V\|0 | tiles | states | trans. | Time |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SR-latch | 3 | [3,8] | 3 | 3 | 1331 | 6 | 5 | 4 | 0.3 |
| Flip-flop | 5 | [4,16] | 5 | 2 | 644 | 8 | 15 | 14 | 3 |
| And–Or | 3 | [4,8] | 4 | 6 | 75600 | 4 | 64 | 72 | 1... | 0 |
| Example | PTAs | loc./PTA | \|X\| | \|P\| | iter. | \|K\|0 | states | trans. | Time1 | Time2 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SR-latch | 3 | [3,8] | 3 | 3 | 5 | 2 | 4 | 3 | 0.11 | 0.007 |
| Flip-flop | 5 | [4,16] | 5 | 12 | 9 | 6 | 11 | 10 | 1.6 | 0.122 | | | And–Or | 3 | [4,8] | 4 | 12 | 14 | 4 | 13 | 13 | 1.81 | 0.15 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| ValmemLatch | 7 | [2,5] | 8 | 13 | 12 | 6 | 18 | 17 | 14.4 | 0.345 |
| CSMA/CD | 3 | [3,8] | 3 | 3 | 19 | 2 | 219 | 342 | 41 | 1.01 |
| RCP | 5 | [6,11] | 6 | 5 | 20 | 2 | 327 | 518 | 6... | 1 |
| Example | PTAs | loc./PTA | \|X\| | \|P\| | iter. | \|K\|0 | states | trans. | Time1 | Time2 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SR-latch | 3 | [3,8] | 3 | 3 | 5 | 2 | 4 | 3 | 0.11 | 0.007 |
| Flip-flop | 5 | [4,16] | 5 | 12 | 9 | 6 | 11 | 10 | 1.6 | 0.122 | | | RCP | 5 | [6,11] | 6 | 3 | 186050 | 19 | 5688 | 9312 | 7018 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SPSMALL1 | 10 | [3,8] | 10 | 2 | 3149 | 259 | 60 | 61 | 1194 | | 0 |
| | Doubling | DoublingandAddition |
| --- | --- | --- |
| Algorithm??<br>(Miller’salgorithm) | kk+3M2Spp<br>k=4.6Mp | kk+5M2Spp<br>k=6.6Mp | | | Algorithmin | kk1S+1Mpp<br>k=1.8Mp | kk1S+2Mpp<br>k=2.8Mp |
| --- | --- | --- |
| Algorithm?? | kk2S+2Mpp<br>k=3.6Mp | kk2S+4Mpp<br>k=5.6Mp |
| Algorithm?? | kk2S+1Mpp<br>k=2.6Mp | kkk2S+2M=3.6M(line3)ppp<br>kkk2S+3M=4.6M(line4)ppp | | 1 |
| | Doubling | DoublingandAddition |
| --- | --- | --- |
| Algorithm??<br>(Miller’salgorithm) | kk+3M2Spp<br>k=4.6Mp | kk+5M2Spp<br>k=6.6Mp | | | Algorithm | Additions | Multiplications |
| --- | --- | --- |
| IDCCG | M+M<br>2<br>+J(M+6M−4) | 2M+2M<br>2<br>J(M+7M+3) |
| IDMCG | 2M+10M−4 | 3M+12M+3 |
| IncrementalLMS | 4M−1 | 3M+1 |
| IncrementalRLS | 4M+12M+1 | 4M+12M−1 | | 0 |
| | Doubling | DoublingandAddition |
| --- | --- | --- |
| Algorithm??<br>(Miller’salgorithm) | kk+3M2Spp<br>k=4.6Mp | kk+5M2Spp<br>k=6.6Mp |
| Algorithmin | kk1S+1Mpp<br>k=1.8Mp | kk1S+2Mpp<br>k=2.8Mp | | | Algorithm?? | kk2S+2Mpp<br>k=3.6Mp | kk2S+4Mpp<br>k=5.6Mp |
| --- | --- | --- |
| Algorithm?? | kk2S+1Mpp<br>k=2.6Mp | kkk2S+2M=3.6M(line3)ppp<br>kkk2S+3M=4.6M(line4)ppp | | 1 |
| | Doubling | DoublingandAddition |
| --- | --- | --- |
| Algorithm??<br>(Miller’salgorithm) | kk+3M2Spp<br>k=4.6Mp | kk+5M2Spp<br>k=6.6Mp |
| Algorithmin | kk1S+1Mpp<br>k=1.8Mp | kk1S+2Mpp<br>k=2.8Mp | | | IDMCG | 2M+10M−4 | 3M+12M+3 |
| --- | --- | --- |
| IncrementalLMS | 4M−1 | 3M+1 |
| IncrementalRLS | 4M+12M+1 | 4M+12M−1 | | 0 |
| | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | |
| | | | | | | | | | | 1 |
| | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | | | 0 |
| | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | 1 |
| | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | |
| | | | | | | | | | | 0 |
| Method | Frontal-Frontal | Frontal-Profile |
| --- | --- | --- |
| Senguptaetal. | 96.40 | 84.91 |
| Sankaranaetal. | 96.93 | 89.17 |
| Chenetal. | 98.67 | 91.97 |
| DR-GAN | 97.84 | 93.41 | | | Human | 96.24 | 94.57 |
| --- | --- | --- |
| Ours | 98.67 | 93.76 | | 1 |
| Method | Frontal-Frontal | Frontal-Profile |
| --- | --- | --- |
| Senguptaetal. | 96.40 | 84.91 |
| Sankaranaetal. | 96.93 | 89.17 |
| Chenetal. | 98.67 | 91.97 |
| DR-GAN | 97.84 | 93.41 | | | Approach | Input | Actions | Evaluations | SuccessRate |
| --- | --- | --- | --- | --- |
| Singhetal. | Silhouette | 14 | LOSO | 82.4 |
| Eweiwietal. | Silhouette | 14 | LOSO | 91.9 |
| Cheemaetal. | Silhouette | 14 | LOSO | 86.0 |
| Chaaraouietal. | Silhouette | 14 | LOSO | 92.8 |
| Proposed | Silhouette | 10 | NoTr... | 0 |
| Method | Frontal-Frontal | Frontal-Profile |
| --- | --- | --- |
| Senguptaetal. | 96.40 | 84.91 |
| Sankaranaetal. | 96.93 | 89.17 |
| Chenetal. | 98.67 | 91.97 | | | DR-GAN | 97.84 | 93.41 |
| --- | --- | --- |
| Human | 96.24 | 94.57 |
| Ours | 98.67 | 93.76 | | 1 |
| Method | Frontal-Frontal | Frontal-Profile |
| --- | --- | --- |
| Senguptaetal. | 96.40 | 84.91 |
| Sankaranaetal. | 96.93 | 89.17 |
| Chenetal. | 98.67 | 91.97 | | | Eweiwietal. | Silhouette | 14 | LOSO | 91.9 |
| --- | --- | --- | --- | --- |
| Cheemaetal. | Silhouette | 14 | LOSO | 86.0 |
| Chaaraouietal. | Silhouette | 14 | LOSO | 92.8 |
| Proposed | Silhouette | 10 | NoTraining | 93.75 | | 0 |
| Expected | January | February | March |
| --- | --- | --- | --- |
| 150000 | 15000 | 20000 | 5000 |
| 35000 | 150000 | 25000 | 10000 |
| 180000 | 80000 | 30000 | 15000 | | | 450000 | 100000 | 200000 | 30000 |
| --- | --- | --- | --- |
| 50000 | 5000 | 10000 | 60000 |
| 200000 | 20000 | 5000 | 70000 |
| 45000 | 25000 | 50000 | 80000 |
| 70000 | 35000 | 40000 | 100000 | | 1 |
| Expected | January | February | March |
| --- | --- | --- | --- |
| 150000 | 15000 | 20000 | 5000 |
| 35000 | 150000 | 25000 | 10000 |
| 180000 | 80000 | 30000 | 15000 | | | Expected | January | February | March |
| --- | --- | --- | --- |
| 180000 | 5000 | 25000 | 15000 |
| 150000 | 25000 | 10000 | 5000 |
| 450000 | 15000 | 20000 | 30000 |
| 35000 | 35000 | 5000 | 10000 |
| 45000 | 20000 | 30000 | 80000 |
| 200000 | 100000 | 50000 | 70000 |
| 50000 | 80000 | 40000 | 60000 |
| 70000 | 15... | 0 |
| Expected | January | February | March |
| --- | --- | --- | --- |
| 150000 | 15000 | 20000 | 5000 | | | 35000 | 150000 | 25000 | 10000 |
| --- | --- | --- | --- |
| 180000 | 80000 | 30000 | 15000 |
| 450000 | 100000 | 200000 | 30000 |
| 50000 | 5000 | 10000 | 60000 |
| 200000 | 20000 | 5000 | 70000 |
| 45000 | 25000 | 50000 | 80000 |
| 70000 | 35000 | 40000 | 100000 | | 1 |
| Expected | January | February | March |
| --- | --- | --- | --- |
| 150000 | 15000 | 20000 | 5000 | | | 200000 | 100000 | 50000 | 70000 |
| --- | --- | --- | --- |
| 50000 | 80000 | 40000 | 60000 |
| 70000 | 150000 | 200000 | 100000 | | 0 |
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