premise string | hypothesis string | label int64 |
|---|---|---|
| Layer | conv1.bconv1.w | conv2.bconv2.w | conv3.bconv3.w | conv4.bconv4.w |
| --- | --- | --- | --- | --- |
| \|\|w\|\| | 1.860.098 | 5.5460.16 | 9.400.196 | 8.150.196 |
| \|\|∇L(w)\|\| | 0.220.017 | 0.1650.002 | 0.1350.0015 | 0.1090.0013 |
| \|\|∇L(w)\|\| | 8.485.76 | 33.683.5 | 69.9127 | 74.6148 |
| Layer | conv5.bconv5.w | fc6.bfc6.w | fc7.bfc7.w | fc8.bfc8.w | | | \|\|w\|\| | 6.650.16 | 30.76.4 | 20.56.4 | 20.20.316 |
| --- | --- | --- | --- | --- |
| \|\|∇L(w)\|\| | 0.090.0002 | 0.260.005 | 0.300.013 | 0.220.016 |
| \|\|∇L(w)\|\| | 73.669 | 1171345 | 68489 | 9319 | | 1 |
| Layer | conv1.bconv1.w | conv2.bconv2.w | conv3.bconv3.w | conv4.bconv4.w |
| --- | --- | --- | --- | --- |
| \|\|w\|\| | 1.860.098 | 5.5460.16 | 9.400.196 | 8.150.196 |
| \|\|∇L(w)\|\| | 0.220.017 | 0.1650.002 | 0.1350.0015 | 0.1090.0013 |
| \|\|∇L(w)\|\| | 8.485.76 | 33.683.5 | 69.9127 | 74.6148 |
| Layer | conv5.bconv5.w | fc6.bfc6.w | fc7.bfc7.w | fc8.bfc8.w | | | Mesh<br>size<br>h | sHHO(1) | uHHO(1) | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Displacement | Gradient | Displacement | Gradient | | | | | |
| Error | Order | Error | Order | Error | Order | Error | Order | |
| 1.15e-1 | 5.98e-2 | - | 3.22e-1 | - | 4.00e-2 | - | 1.23e-1 | - |
| 5.77e-2 | 1.81e-2 | 1.72 | 8.23e-1 | 1.97 | 1.32e-2 | 1.62 | 1.01e-1 | 0.28 |
| 3.45e-2 | 6.30e-3 | 2.05 | 3.15e-2 | 1.86 | 3.80e-3 | 2.42 | 6.60e-2 | 0.83 |
| 2.52e-2 | 3.42e-3 | 1.95 | 1.83e-2 | 1.73 | 2.03e-3 | 2.05 | 5.11e-2 | 0.94 |
| 1.64e-2 | 1.49e-3 | 1.93 | 7.98e-3 | 1.93 | 9.76e-4 | 1.72 | 3.09e-2 | 1.08 | | 0 |
| Layer | conv1.bconv1.w | conv2.bconv2.w | conv3.bconv3.w | conv4.bconv4.w |
| --- | --- | --- | --- | --- |
| \|\|w\|\| | 1.860.098 | 5.5460.16 | 9.400.196 | 8.150.196 |
| \|\|∇L(w)\|\| | 0.220.017 | 0.1650.002 | 0.1350.0015 | 0.1090.0013 |
| \|\|∇L(w)\|\| | 8.485.76 | 33.683.5 | 69.9127 | 74.6148 |
| Layer | conv5.bconv5.w | fc6.bfc6.w | fc7.bfc7.w | fc8.bfc8.w |
| \|\|w\|\| | 6.650.16 | 30.76.4 | 20.56.4 | 20.20.316 | | | \|\|∇L(w)\|\| | 0.090.0002 | 0.260.005 | 0.300.013 | 0.220.016 |
| --- | --- | --- | --- | --- |
| \|\|∇L(w)\|\| | 73.669 | 1171345 | 68489 | 9319 | | 1 |
| Layer | conv1.bconv1.w | conv2.bconv2.w | conv3.bconv3.w | conv4.bconv4.w |
| --- | --- | --- | --- | --- |
| \|\|w\|\| | 1.860.098 | 5.5460.16 | 9.400.196 | 8.150.196 |
| \|\|∇L(w)\|\| | 0.220.017 | 0.1650.002 | 0.1350.0015 | 0.1090.0013 |
| \|\|∇L(w)\|\| | 8.485.76 | 33.683.5 | 69.9127 | 74.6148 |
| Layer | conv5.bconv5.w | fc6.bfc6.w | fc7.bfc7.w | fc8.bfc8.w |
| \|\|w\|\| | 6.650.16 | 30.76.4 | 20.56.4 | 20.20.316 | | | 3.45e-2 | 6.30e-3 | 2.05 | 3.15e-2 | 1.86 | 3.80e-3 | 2.42 | 6.60e-2 | 0.83 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 2.52e-2 | 3.42e-3 | 1.95 | 1.83e-2 | 1.73 | 2.03e-3 | 2.05 | 5.11e-2 | 0.94 |
| 1.64e-2 | 1.49e-3 | 1.93 | 7.98e-3 | 1.93 | 9.76e-4 | 1.72 | 3.09e-2 | 1.08 | | 0 |
| | 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 |
| 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 | 72.7 | 69.3 | 65.4 | 78.0 | | 1 |
| | 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 | | | | Ours<br>scratch | S&L | Rand.<br>Init. | Imagen | tOurs+<br>Imagenet |
| --- | --- | --- | --- | --- | --- |
| Head | 80.6 | 75.8 | 79.5 | 87.2 | 90.2 |
| Neck | 88.4 | 86.3 | 87.1 | 93.2 | 93.8 |
| LR<br>Shoulder | 74.8 | 75.0 | 71.6 | 85.2 | 86.3 |
| LRElbow. | 56.9 | 59.2 | 52.1 | 69.6 | 70.4 |
| LRWrist | 41.6 | 42.2 | 34.6 | 52.0 | 58.6 |
| LRHip | 73.3 | 73.3 | 64.1 | 81.3 | 82.4 |
| LRKnee | 63.6 | 63.1 | 58.3 | 69.7 | 73.2 |
| LRAnkle | 56.9 | 51.7 | 51.2 | 62.0 | 67.4 |
| Thorax | 88.6 | 87.1 | 85.5 | 93.4 | 93.7 |
| Pelvis | 79.9 | 79.5 | 70.1 | 86.6 | 88.4 |
| Total | 70.5 | 69.3 | 65.4 | 78.0 | 80.4 | | 0 |
| | 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 |
| 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 | 72.7 | 69.3 | 65.4 | 78.0 | | 1 |
| | Ours | Shuffle&Learn | RandomInit. | AlexNet |
| --- | --- | --- | --- | --- |
| Head | 83.8 | 75.8 | 79.5 | 87.2 | | | Neck | 88.4 | 86.3 | 87.1 | 93.2 | 93.8 |
| --- | --- | --- | --- | --- | --- |
| LR<br>Shoulder | 74.8 | 75.0 | 71.6 | 85.2 | 86.3 |
| LRElbow. | 56.9 | 59.2 | 52.1 | 69.6 | 70.4 |
| LRWrist | 41.6 | 42.2 | 34.6 | 52.0 | 58.6 |
| LRHip | 73.3 | 73.3 | 64.1 | 81.3 | 82.4 |
| LRKnee | 63.6 | 63.1 | 58.3 | 69.7 | 73.2 |
| LRAnkle | 56.9 | 51.7 | 51.2 | 62.0 | 67.4 |
| Thorax | 88.6 | 87.1 | 85.5 | 93.4 | 93.7 |
| Pelvis | 79.9 | 79.5 | 70.1 | 86.6 | 88.4 |
| Total | 70.5 | 69.3 | 65.4 | 78.0 | 80.4 | | 0 |
| TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9401.022<br>10.49211.421<br>112.110122.450<br>0.7810.848<br>3.3203.639<br>14.33515.638 | 0.2433.91.027<br>2.2444.79.085<br>20.9645.331.643<br>0.2293.40.864<br>0.7784.33.357<br>2.9244.99.422 | 0.1635.80.185<br>1.8285.71.953<br>18.9035.920.534<br>0.1545.10.158<br>0.5875.70.681<br>2.1126.82.556 | | | 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 0.9371.017<br>9.97110.883<br>101.042110.295<br>0.7850.847<br>3.3283.609<br>13.61314.859 | 0.2453.81.189<br>2.3104.37.713<br>20.1515.034.062<br>0.2053.80.794<br>0.7274.63.403<br>2.8814.710.175 | 0.1546.10.184<br>2.0254.92.280<br>18.3855.524.096<br>0.1395.70.156<br>0.6045.50.649<br>2.1716.32.625 |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Buckets1000000000<br>8388607<br>33554431<br>134217727 | 0.8730.962<br>10.49311.691<br>108.909121.008<br>0.7210.785<br>3.2053.535<br>13.57314.971 | 0.2553.41.121<br>1.9215.59.489<br>21.0085.231.683<br>0.1744.20.774<br>0.6155.23.262<br>2.3445.88.555 | 0.1177.50.141<br>1.3667.71.687<br>14.6917.418.208<br>0.0888.20.113<br>0.4157.70.502<br>1.4659.31.945 |
| 10000000<br>100000000<br>Staggered1000000000<br>8388607<br>33554431<br>134217727 | 0.8690.977<br>9.84510.837<br>102.498112.668<br>0.7310.819<br>3.1203.591<br>13.36514.816 | 0.2194.01.041<br>1.8145.46.621<br>17.5935.824.018<br>0.1734.20.647<br>0.7014.52.612<br>2.3565.78.746 | 0.1485.90.170<br>1.1548.51.480<br>13.8697.418.701<br>0.1734.20.180<br>0.3878.10.485<br>1.7207.82.050 | | 1 |
| TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9401.022<br>10.49211.421<br>112.110122.450<br>0.7810.848<br>3.3203.639<br>14.33515.638 | 0.2433.91.027<br>2.2444.79.085<br>20.9645.331.643<br>0.2293.40.864<br>0.7784.33.357<br>2.9244.99.422 | 0.1635.80.185<br>1.8285.71.953<br>18.9035.920.534<br>0.1545.10.158<br>0.5875.70.681<br>2.1126.82.556 | | | TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9391.017<br>10.48311.404<br>111.442121.697<br>0.7670.834<br>3.3173.632<br>14.24015.535 | 0.2324.00.505<br>2.1684.84.813<br>20.7705.423.703<br>0.2153.60.696<br>0.7654.31.316<br>2.8535.03.524 | 0.1625.80.183<br>1.8125.81.911<br>18.6656.020.441<br>0.1525.00.158<br>0.5855.70.646<br>2.1016.82.550 |
| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 0.9261.006<br>9.96110.864<br>100.551109.778<br>0.7650.826<br>3.2753.555<br>13.60714.830 | 0.2383.91.086<br>2.2504.44.002<br>19.9005.123.386<br>0.1934.00.304<br>0.7044.71.377<br>2.8654.73.751 | 0.1546.00.183<br>2.0144.92.262<br>18.2735.524.036<br>0.1385.50.155<br>0.5995.50.646<br>2.1636.32.617 |
| 10000000<br>100000000<br>Buckets1000000000<br>8388607<br>33554431<br>134217727 | 0.8640.950<br>10.05011.190<br>104.524116.298<br>0.7110.774<br>3.0923.408<br>13.36314.724 | 0.2343.70.980<br>1.8935.35.331<br>20.7455.024.175<br>0.1694.20.404<br>0.5935.21.931<br>2.3155.82.951 | 0.1167.50.140<br>1.3577.41.679<br>14.5357.218.146<br>0.0878.20.112<br>0.4107.50.499<br>1.4589.21.942 |
| 10000000<br>100000000<br>Staggered1000000000<br>8388607<br>33554431<br>134217727 | 0.8650.971<br>9.83710.816<br>101.711111.983<br>0.7220.807<br>3.1193.581<br>13.35714.796 | 0.2084.20.610<br>1.7855.52.940<br>17.3685.919.766<br>0.1674.30.272<br>0.6624.71.506<br>2.3255.73.017 | 0.1446.00.165<br>1.1468.61.475<br>13.5957.518.567<br>0.1714.20.177<br>0.3798.20.480<br>1.6987.92.027 | | 0 |
| TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9401.022<br>10.49211.421<br>112.110122.450<br>0.7810.848<br>3.3203.639<br>14.33515.638 | 0.2433.91.027<br>2.2444.79.085<br>20.9645.331.643<br>0.2293.40.864<br>0.7784.33.357<br>2.9244.99.422 | 0.1635.80.185<br>1.8285.71.953<br>18.9035.920.534<br>0.1545.10.158<br>0.5875.70.681<br>2.1126.82.556 |
| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 0.9371.017<br>9.97110.883<br>101.042110.295<br>0.7850.847<br>3.3283.609<br>13.61314.859 | 0.2453.81.189<br>2.3104.37.713<br>20.1515.034.062<br>0.2053.80.794<br>0.7274.63.403<br>2.8814.710.175 | 0.1546.10.184<br>2.0254.92.280<br>18.3855.524.096<br>0.1395.70.156<br>0.6045.50.649<br>2.1716.32.625 | | | 10000000<br>100000000<br>Buckets1000000000<br>8388607<br>33554431<br>134217727 | 0.8730.962<br>10.49311.691<br>108.909121.008<br>0.7210.785<br>3.2053.535<br>13.57314.971 | 0.2553.41.121<br>1.9215.59.489<br>21.0085.231.683<br>0.1744.20.774<br>0.6155.23.262<br>2.3445.88.555 | 0.1177.50.141<br>1.3667.71.687<br>14.6917.418.208<br>0.0888.20.113<br>0.4157.70.502<br>1.4659.31.945 |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Staggered1000000000<br>8388607<br>33554431<br>134217727 | 0.8690.977<br>9.84510.837<br>102.498112.668<br>0.7310.819<br>3.1203.591<br>13.36514.816 | 0.2194.01.041<br>1.8145.46.621<br>17.5935.824.018<br>0.1734.20.647<br>0.7014.52.612<br>2.3565.78.746 | 0.1485.90.170<br>1.1548.51.480<br>13.8697.418.701<br>0.1734.20.180<br>0.3878.10.485<br>1.7207.82.050 | | 1 |
| TypeSize | Seq/STLSeqQS | ForkSURandfork | CilkSUCilksample |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Random1000000000<br>8388607<br>33554431<br>134217727 | 0.9401.022<br>10.49211.421<br>112.110122.450<br>0.7810.848<br>3.3203.639<br>14.33515.638 | 0.2433.91.027<br>2.2444.79.085<br>20.9645.331.643<br>0.2293.40.864<br>0.7784.33.357<br>2.9244.99.422 | 0.1635.80.185<br>1.8285.71.953<br>18.9035.920.534<br>0.1545.10.158<br>0.5875.70.681<br>2.1126.82.556 |
| 10000000<br>100000000<br>Gauss1000000000<br>8388607<br>33554431<br>134217727 | 0.9371.017<br>9.97110.883<br>101.042110.295<br>0.7850.847<br>3.3283.609<br>13.61314.859 | 0.2453.81.189<br>2.3104.37.713<br>20.1515.034.062<br>0.2053.80.794<br>0.7274.63.403<br>2.8814.710.175 | 0.1546.10.184<br>2.0254.92.280<br>18.3855.524.096<br>0.1395.70.156<br>0.6045.50.649<br>2.1716.32.625 | | | 10000000<br>100000000<br>Buckets1000000000<br>8388607<br>33554431<br>134217727 | 0.8640.950<br>10.05011.190<br>104.524116.298<br>0.7110.774<br>3.0923.408<br>13.36314.724 | 0.2343.70.980<br>1.8935.35.331<br>20.7455.024.175<br>0.1694.20.404<br>0.5935.21.931<br>2.3155.82.951 | 0.1167.50.140<br>1.3577.41.679<br>14.5357.218.146<br>0.0878.20.112<br>0.4107.50.499<br>1.4589.21.942 |
| --- | --- | --- | --- |
| 10000000<br>100000000<br>Staggered1000000000<br>8388607<br>33554431<br>134217727 | 0.8650.971<br>9.83710.816<br>101.711111.983<br>0.7220.807<br>3.1193.581<br>13.35714.796 | 0.2084.20.610<br>1.7855.52.940<br>17.3685.919.766<br>0.1674.30.272<br>0.6624.71.506<br>2.3255.73.017 | 0.1446.00.165<br>1.1468.61.475<br>13.5957.518.567<br>0.1714.20.177<br>0.3798.20.480<br>1.6987.92.027 | | 0 |
| Network | Type | \|V\| | \|E\| | diameter | radius | δ4−point |
| --- | --- | --- | --- | --- | --- | --- |
| sprintlink-1239 | RocketfuelISPnetwork | 8341 | 14025 | 13 | 7 | 3 |
| p2p-gnutella25 | peer-to-peernetwork | 22663 | 54693 | 11 | 7 | 3 | | | sn-medium | socialnetwork | 26567 | 226566 | 14 | 7 | 4 |
| --- | --- | --- | --- | --- | --- | --- |
| web-stanford | webnetwork | 255265 | 1941926 | 164 | 82 | 1.5(est.) | | 1 |
| Network | Type | \|V\| | \|E\| | diameter | radius | δ4−point |
| --- | --- | --- | --- | --- | --- | --- |
| sprintlink-1239 | RocketfuelISPnetwork | 8341 | 14025 | 13 | 7 | 3 |
| p2p-gnutella25 | peer-to-peernetwork | 22663 | 54693 | 11 | 7 | 3 | | | On-line | P2p | Collaboration | | | |
| --- | --- | --- | --- | --- | --- |
| Network | α | Network | α | Network | α |
| 1 | -0.40 | 5 | -0.15 | 10 | 0.58 |
| 2 | -0.30 | 6 | 0.29 | 11 | -2.30 |
| 3 | -0.40 | 7 | 0.50 | 12 | -1.50 |
| 4 | -0.20 | 8 | 0.40 | 13 | -1.70 |
| | | 9 | 0.10 | 14 | 0.50 | | 0 |
| Network | Type | \|V\| | \|E\| | diameter | radius | δ4−point |
| --- | --- | --- | --- | --- | --- | --- |
| sprintlink-1239 | RocketfuelISPnetwork | 8341 | 14025 | 13 | 7 | 3 | | | p2p-gnutella25 | peer-to-peernetwork | 22663 | 54693 | 11 | 7 | 3 |
| --- | --- | --- | --- | --- | --- | --- |
| sn-medium | socialnetwork | 26567 | 226566 | 14 | 7 | 4 |
| web-stanford | webnetwork | 255265 | 1941926 | 164 | 82 | 1.5(est.) | | 1 |
| Network | Type | \|V\| | \|E\| | diameter | radius | δ4−point |
| --- | --- | --- | --- | --- | --- | --- |
| sprintlink-1239 | RocketfuelISPnetwork | 8341 | 14025 | 13 | 7 | 3 | | | 3 | -0.40 | 7 | 0.50 | 12 | -1.50 |
| --- | --- | --- | --- | --- | --- |
| 4 | -0.20 | 8 | 0.40 | 13 | -1.70 |
| | | 9 | 0.10 | 14 | 0.50 | | 0 |
| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |
| --- | --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single) | 51.6<br>50.5<br>52.4<br>54.7<br>57.9 | 75.8<br>74.7<br>76.0<br>77.9<br>81.1 | 84.2<br>83.2<br>85.3<br>87.4<br>89.5 | 88.4<br>87.4<br>88.7<br>90.5<br>92.6 | 90.5<br>89.5<br>90.8<br>91.6<br>93.7 | 92.6<br>92.6<br>92.4<br>93.7<br>94.7 |
| Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 | | | Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single) | 54.8<br>53.6<br>55.5<br>57.6<br>60.3 | 75.6<br>76.1<br>76.3<br>78.3<br>82.4 | 85.3<br>84.7<br>85.8<br>87.4<br>89.3 | 89.8<br>88.1<br>90.1<br>91.4<br>92.3 | 92.1<br>91.4<br>92.4<br>92.9<br>93.6 | 93.1<br>92.4<br>93.3<br>93.8<br>94.3 |
| --- | --- | --- | --- | --- | --- | --- |
| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single) | 56.6<br>55.7<br>57.2<br>59.8<br>61.4 | 78.5<br>77.8<br>79.0<br>82.6<br>84.2 | 86.2<br>85.8<br>87.8<br>89.6<br>90.7 | 90.4<br>90.2<br>91.3<br>92.3<br>92.7 | 92.2<br>92.4<br>92.7<br>93.8<br>94.2 | 93.3<br>93.1<br>93.8<br>94.6<br>94.9 | | 1 |
| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |
| --- | --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single) | 51.6<br>50.5<br>52.4<br>54.7<br>57.9 | 75.8<br>74.7<br>76.0<br>77.9<br>81.1 | 84.2<br>83.2<br>85.3<br>87.4<br>89.5 | 88.4<br>87.4<br>88.7<br>90.5<br>92.6 | 90.5<br>89.5<br>90.8<br>91.6<br>93.7 | 92.6<br>92.6<br>92.4<br>93.7<br>94.7 |
| Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 | | | Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |
| --- | --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 33.5<br>32.3<br>33.9<br>36.7<br>38.6<br>43.3<br>43.0<br>43.8 | 70.1<br>68.9<br>69.3<br>71.7<br>73.1<br>76.2<br>75.7<br>76.8 | 80.0<br>78.9<br>78.1<br>81.7<br>83.7<br>83.9<br>83.5<br>84.2 | 83.4<br>82.6<br>83.8<br>84.3<br>85.2<br>86.1<br>86.3<br>86.9 | 88.8<br>87.6<br>88.9<br>88.4<br>90.4<br>90.7<br>90.4<br>90.7 | 92.8<br>91.2<br>91.8<br>92.4<br>92.7<br>93.4<br>92.8<br>93.2 |
| Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 35.8<br>36.0<br>36.8<br>39.0<br>41.2<br>45.4<br>45.1<br>45.8 | 70.5<br>69.7<br>70.9<br>71.9<br>73.6<br>75.8<br>75.5<br>76.3 | 83.7<br>81.7<br>83.4<br>84.3<br>84.8<br>86.7<br>86.5<br>87.2 | 87.9<br>86.4<br>87.3<br>88.6<br>89.2<br>91.4<br>91.6<br>92.3 | 92.0<br>91.6<br>91.6<br>92.8<br>93.2<br>94.6<br>95.0<br>94.3 | 95.6<br>96.1<br>95.4<br>95.6<br>96.3<br>96.5<br>97.2<br>96.8 |
| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 42.3<br>41.5<br>42.7<br>44.5<br>46.2<br>49.3<br>49.1<br>49.6 | 71.3<br>71.0<br>72.6<br>74.3<br>76.4<br>77.9<br>77.5<br>78.6 | 84.5<br>84.3<br>84.8<br>85.6<br>87.2<br>88.1<br>87.7<br>88.9 | 88.5<br>88.2<br>88.8<br>89.7<br>90.8<br>92.7<br>92.3<br>93.5 | 91.8<br>92.1<br>92.4<br>93.3<br>94.2<br>94.7<br>95.0<br>95.4 | 95.2<br>95.7<br>96.3<br>96.0<br>96.7<br>97.4<br>97.2<br>97.8 | | 0 |
| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |
| --- | --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single) | 51.6<br>50.5<br>52.4<br>54.7<br>57.9 | 75.8<br>74.7<br>76.0<br>77.9<br>81.1 | 84.2<br>83.2<br>85.3<br>87.4<br>89.5 | 88.4<br>87.4<br>88.7<br>90.5<br>92.6 | 90.5<br>89.5<br>90.8<br>91.6<br>93.7 | 92.6<br>92.6<br>92.4<br>93.7<br>94.7 | | | Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 |
| --- | --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single) | 54.8<br>53.6<br>55.5<br>57.6<br>60.3 | 75.6<br>76.1<br>76.3<br>78.3<br>82.4 | 85.3<br>84.7<br>85.8<br>87.4<br>89.3 | 89.8<br>88.1<br>90.1<br>91.4<br>92.3 | 92.1<br>91.4<br>92.4<br>92.9<br>93.6 | 93.1<br>92.4<br>93.3<br>93.8<br>94.3 |
| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single) | 56.6<br>55.7<br>57.2<br>59.8<br>61.4 | 78.5<br>77.8<br>79.0<br>82.6<br>84.2 | 86.2<br>85.8<br>87.8<br>89.6<br>90.7 | 90.4<br>90.2<br>91.3<br>92.3<br>92.7 | 92.2<br>92.4<br>92.7<br>93.8<br>94.2 | 93.3<br>93.1<br>93.8<br>94.6<br>94.9 | | 1 |
| Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |
| --- | --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single) | 51.6<br>50.5<br>52.4<br>54.7<br>57.9 | 75.8<br>74.7<br>76.0<br>77.9<br>81.1 | 84.2<br>83.2<br>85.3<br>87.4<br>89.5 | 88.4<br>87.4<br>88.7<br>90.5<br>92.6 | 90.5<br>89.5<br>90.8<br>91.6<br>93.7 | 92.6<br>92.6<br>92.4<br>93.7<br>94.7 | | | Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 35.8<br>36.0<br>36.8<br>39.0<br>41.2<br>45.4<br>45.1<br>45.8 | 70.5<br>69.7<br>70.9<br>71.9<br>73.6<br>75.8<br>75.5<br>76.3 | 83.7<br>81.7<br>83.4<br>84.3<br>84.8<br>86.7<br>86.5<br>87.2 | 87.9<br>86.4<br>87.3<br>88.6<br>89.2<br>91.4<br>91.6<br>92.3 | 92.0<br>91.6<br>91.6<br>92.8<br>93.2<br>94.6<br>95.0<br>94.3 | 95.6<br>96.1<br>95.4<br>95.6<br>96.3<br>96.5<br>97.2<br>96.8 |
| --- | --- | --- | --- | --- | --- | --- |
| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 42.3<br>41.5<br>42.7<br>44.5<br>46.2<br>49.3<br>49.1<br>49.6 | 71.3<br>71.0<br>72.6<br>74.3<br>76.4<br>77.9<br>77.5<br>78.6 | 84.5<br>84.3<br>84.8<br>85.6<br>87.2<br>88.1<br>87.7<br>88.9 | 88.5<br>88.2<br>88.8<br>89.7<br>90.8<br>92.7<br>92.3<br>93.5 | 91.8<br>92.1<br>92.4<br>93.3<br>94.2<br>94.7<br>95.0<br>95.4 | 95.2<br>95.7<br>96.3<br>96.0<br>96.7<br>97.4<br>97.2<br>97.8 | | 0 |
| | SPO | OFSY | RM3DE |
| --- | --- | --- | --- |
| Median | 8.779 | 11.329 | 7.992 |
| Average | 8.466 | 12.036 | 10.216 |
| | SCGC | EPI1 | EPI2 |
| Median | 10.206 | 22.891 | 22.942 |
| Average | 14.299 | 24.324 | 22.651 |
| | LF | LFOCC | proposed | | | Median | 16.146 | 18.451 | 13.409 |
| --- | --- | --- | --- |
| Average | 16.193 | 17.579 | 12.743 | | 1 |
| | SPO | OFSY | RM3DE |
| --- | --- | --- | --- |
| Median | 8.779 | 11.329 | 7.992 |
| Average | 8.466 | 12.036 | 10.216 |
| | SCGC | EPI1 | EPI2 |
| Median | 10.206 | 22.891 | 22.942 |
| Average | 14.299 | 24.324 | 22.651 |
| | LF | LFOCC | proposed | | | | Mean | 1quartile | median | 3quartile |
| --- | --- | --- | --- | --- |
| SRSWOR | 2.531 | 1.322 | 1.982 | 3.351 |
| SYS | 2.625 | 1.355 | 2.412 | 3.087 |
| PROP | 1.060 | 0.8498 | 1.017 | 1.234 |
| u-OPTIM | 1.000 | 0.7946 | 0.9552 | 1.142 |
| POST | 1.041 | 0.8275 | 0.9785 | 1.203 |
| PPS | 7.1410 | 2.7880 | 6.1370 | 9.5600 | | 0 |
| | SPO | OFSY | RM3DE |
| --- | --- | --- | --- |
| Median | 8.779 | 11.329 | 7.992 |
| Average | 8.466 | 12.036 | 10.216 |
| | SCGC | EPI1 | EPI2 |
| Median | 10.206 | 22.891 | 22.942 |
| Average | 14.299 | 24.324 | 22.651 |
| | LF | LFOCC | proposed | | | Median | 16.146 | 18.451 | 13.409 |
| --- | --- | --- | --- |
| Average | 16.193 | 17.579 | 12.743 | | 1 |
| | SPO | OFSY | RM3DE |
| --- | --- | --- | --- |
| Median | 8.779 | 11.329 | 7.992 |
| Average | 8.466 | 12.036 | 10.216 |
| | SCGC | EPI1 | EPI2 |
| Median | 10.206 | 22.891 | 22.942 |
| Average | 14.299 | 24.324 | 22.651 |
| | LF | LFOCC | proposed | | | PROP | 1.060 | 0.8498 | 1.017 | 1.234 |
| --- | --- | --- | --- | --- |
| u-OPTIM | 1.000 | 0.7946 | 0.9552 | 1.142 |
| POST | 1.041 | 0.8275 | 0.9785 | 1.203 |
| PPS | 7.1410 | 2.7880 | 6.1370 | 9.5600 | | 0 |
| Method | Features | Dataset | AUC |
| --- | --- | --- | --- |
| Poznanski2007 | Single-epoch+redshift | SNLS(partlyreal) | accuracy=0.97 | | | Single-epoch,w/oredshift | SNLS(partlyreal) | accuracy=0.60 | |
| --- | --- | --- | --- |
| Single-epoch+redshift | Synthetic | accuracy(cid:28)0.9 | |
| Lochner2016 | Multi-epoch(4-40)+redshift | SNPCC(synthetic) | 0.984 |
| Multi-epoch(4-40),w/oredshift | SNPCC(synthetic) | 0.976 | |
| Moller2016 | Multi-epoch(notdisclosed)+redshift | SNLS3(synthetic) | 0.97 |
| Charnock2016 | Multi-epoch(4-40)+redshift | SNPCC(synthetic) | 0.981 |
| Multi-epoch(4-40),w/oredshift | SNPCC(synthetic) | 0.981 | |
| Proposed | Single-epoch,w/oredshift | Synthetic | 0.958 |
| Multi-epoch(4),w/oredshift | Synthetic | 0.995 | | | 1 |
| Method | Features | Dataset | AUC |
| --- | --- | --- | --- |
| Poznanski2007 | Single-epoch+redshift | SNLS(partlyreal) | accuracy=0.97 | | | Dataset | Methods | Accuracy | Dice | Jaccard | Senstivity | Specificity |
| --- | --- | --- | --- | --- | --- | --- |
| DDSM | FCN | 0.9114 | 0.8480 | 0.7361 | 0.8193 | 0.9511 |
| U-Net | 0.9308 | 0.8635 | 0.7896 | 0.8365 | 0.9552 | |
| CRFCNN | 0.8245 | 0.8457 | 0.7925 | 0.8421 | 0.8975 | |
| cGAN-AutoEnc | 0.9469 | 0.9061 | 0.8283 | 0.8975 | 0.9666 | |
| cGAN-Unet | 0.9716 | 0.9443 | 0.8944 | 0.9274 | 0.9871 | |
| Private | FCN | 0.9484 | 0.8698 | 0.7799 | 0.8002 | 0.9905 |
| U-Net | 0.8647 | 0.7442 | 0.6622 | 0.6921 | 0.8641 | |
| CRFCNN | 0.7542 | 0.6135 | 0.5247 | 0.7126 | 0.7458 | |
| cGAN-AutoEnc | 0.9481 | 0.8894 | 0.8008 | 0.9726 | 0.9414 | |
| cGAN-Unet | 0.9555 | 0.8648 | 0.7618 | 0.8576 | 0.9750 | | | 0 |
| Method | Features | Dataset | AUC |
| --- | --- | --- | --- |
| Poznanski2007 | Single-epoch+redshift | SNLS(partlyreal) | accuracy=0.97 |
| Single-epoch,w/oredshift | SNLS(partlyreal) | accuracy=0.60 | | | | Single-epoch+redshift | Synthetic | accuracy(cid:28)0.9 | |
| --- | --- | --- | --- |
| Lochner2016 | Multi-epoch(4-40)+redshift | SNPCC(synthetic) | 0.984 |
| Multi-epoch(4-40),w/oredshift | SNPCC(synthetic) | 0.976 | |
| Moller2016 | Multi-epoch(notdisclosed)+redshift | SNLS3(synthetic) | 0.97 |
| Charnock2016 | Multi-epoch(4-40)+redshift | SNPCC(synthetic) | 0.981 |
| Multi-epoch(4-40),w/oredshift | SNPCC(synthetic) | 0.981 | |
| Proposed | Single-epoch,w/oredshift | Synthetic | 0.958 |
| Multi-epoch(4),w/oredshift | Synthetic | 0.995 | | | 1 |
| Method | Features | Dataset | AUC |
| --- | --- | --- | --- |
| Poznanski2007 | Single-epoch+redshift | SNLS(partlyreal) | accuracy=0.97 |
| Single-epoch,w/oredshift | SNLS(partlyreal) | accuracy=0.60 | | | | Private | FCN | 0.9484 | 0.8698 | 0.7799 | 0.8002 | 0.9905 |
| --- | --- | --- | --- | --- | --- | --- |
| U-Net | 0.8647 | 0.7442 | 0.6622 | 0.6921 | 0.8641 | |
| CRFCNN | 0.7542 | 0.6135 | 0.5247 | 0.7126 | 0.7458 | |
| cGAN-AutoEnc | 0.9481 | 0.8894 | 0.8008 | 0.9726 | 0.9414 | |
| cGAN-Unet | 0.9555 | 0.8648 | 0.7618 | 0.8576 | 0.9750 | | | 0 |
| Train | Test | Train |
| --- | --- | --- |
| 93.5 | 90.8 | 88.5 |
| 96.0 | 94.6 | 91.8 | | | 97.3 | 96.3 | 93.7 |
| --- | --- | --- |
| 99.5 | 99.3 | 98.4 | | 1 |
| Train | Test | Train |
| --- | --- | --- |
| 93.5 | 90.8 | 88.5 |
| 96.0 | 94.6 | 91.8 | | | Train | Test | Lighting | | | | Ours |
| --- | --- | --- | --- | --- | --- | --- |
| D | D | Same | 97.26 | 97.62 | 98.24 | 98.61 |
| M | M | Same | 95.51 | 95.35 | 96.61 | 97.32 |
| D | D | Diff | 80.55 | 94.98 | 95.76 | 94.17 |
| M | M | Diff | 71.90 | 90.17 | 92.01 | 93.62 |
| D | M | Same | 66.63 | 77.78 | 80.05 | 87.05 |
| M | D | Same | 62.20 | 72.44 | 75.43 | 88.51 | | 0 |
| Train | Test | Train |
| --- | --- | --- |
| 93.5 | 90.8 | 88.5 | | | 96.0 | 94.6 | 91.8 |
| --- | --- | --- |
| 97.3 | 96.3 | 93.7 |
| 99.5 | 99.3 | 98.4 | | 1 |
| Train | Test | Train |
| --- | --- | --- |
| 93.5 | 90.8 | 88.5 | | | M | M | Diff | 71.90 | 90.17 | 92.01 | 93.62 |
| --- | --- | --- | --- | --- | --- | --- |
| D | M | Same | 66.63 | 77.78 | 80.05 | 87.05 |
| M | D | Same | 62.20 | 72.44 | 75.43 | 88.51 | | 0 |
| Simulationaverage | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| λparking | ηpark | ηorbit | Stockparking | Stockplane | TESSAC | λparking | ρparking |
| 0.00744 | 1 | 1 | 29.44 | 4.86 | 3284.41 | 0.00770 | 1 |
| 0.00942 | 1 | 1 | 17.17 | 6.32 | 1504.81 | 0.00950 | 1 |
| 0.01775 | 0.97 | 1 | 25.34 | 7.19 | 1028.39 | 0.01860 | 0.97 |
| 0.00207 | 1 | 1 | 19.41 | 9.91 | 730.26 | 0220 | 1 |
| 0.00806 | 1 | 0.99 | 36.80 | 4.77 | 1982.74 | 0.00850 | 0.99 |
| 0.00361 | 1 | 1 | 5.92 | 4.98 | 1412.43 | 0.00360 | 1 |
| 0.00061 | 1 | 1 | 87.32 | 8.07 | 5071.15 | 0.00.00065 | 1 |
| 0.00136 | 1 | 1 | 98.63 | 10.37 | 4790.68 | 0.00140 | 1 |
| 0.01754 | 1 | 1 | 13.07 | 9.39 | 571.37 | 0.01820 | 1 |
| 0.01044 | 1 | 1 | 11.29 | 11.94 | 1294.33 | 0.01060 | 0.86 |
| 0.00489 | 1 | 1 | 30.52 | 11.37 | 1661.52 | 0.00500 | 1 |
| 0.00411 | 1 | 1 | 89.60 | 10.10 | 2852.67 | 0.00420 | 1 |
| 0.00151 | 1 | 1 | 18.61 | 5.83 | 399.84 | 0.00150 | 1 |
| 0.00229 | 1 | 1 | 137.43 | 11.55 | 2092.54 | 0.00240 | 1 |
| 0.00391 | 1 | 1 | 143.26 | 9.37 | 6318.03 | 0.00410 | 1 |
| 0.00135 | 1 | 1 | 13.17 | 9.48 | 559.70 | 0.00140 | 1 |
| 0.00029 | 1 | 1 | 56.24 | 7.74 | 1916.14 | 0033 | 1 |
| 0.00064 | 1 | 1 | 96.66 | 10.59 | 2164.33 | 0.00070 | 1 | | | 0.00420 | 1 | 1 | 32.96 | 6.14 | 1136.27 | 0.00430 | 1 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 0.01608 | 1 | 1 | 10.93 | 7.53 | 529.90 | 0.01620 | 1 |
| 0.00543 | 1 | 1 | 11.59 | 10.32 | 712.02 | 0.00550 | 0.99 |
| 0.00151 | 1 | 1 | 44.69 | 12.45 | 3555.04 | 0.00160 | 1 |
| 0.01712 | 1 | 1 | 7.99 | 8.75 | 970.30 | 0.01710 | 0.99 |
| 0.00028 | 1 | 1 | 31.65 | 8.73 | 1320.43 | 0.00034 | 1 |
| 0.00442 | 1 | 0.95 | 26.23 | 3.38 | 966.61 | 0.00470 | 1 |
| 0.00.00176 | 1 | 1 | 82.91 | 9.43 | 970.63 | 0.00190 | 1 | | 1 |
| Simulationaverage | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| λparking | ηpark | ηorbit | Stockparking | Stockplane | TESSAC | λparking | ρparking |
| 0.00744 | 1 | 1 | 29.44 | 4.86 | 3284.41 | 0.00770 | 1 |
| 0.00942 | 1 | 1 | 17.17 | 6.32 | 1504.81 | 0.00950 | 1 |
| 0.01775 | 0.97 | 1 | 25.34 | 7.19 | 1028.39 | 0.01860 | 0.97 |
| 0.00207 | 1 | 1 | 19.41 | 9.91 | 730.26 | 0220 | 1 |
| 0.00806 | 1 | 0.99 | 36.80 | 4.77 | 1982.74 | 0.00850 | 0.99 |
| 0.00361 | 1 | 1 | 5.92 | 4.98 | 1412.43 | 0.00360 | 1 |
| 0.00061 | 1 | 1 | 87.32 | 8.07 | 5071.15 | 0.00.00065 | 1 |
| 0.00136 | 1 | 1 | 98.63 | 10.37 | 4790.68 | 0.00140 | 1 |
| 0.01754 | 1 | 1 | 13.07 | 9.39 | 571.37 | 0.01820 | 1 |
| 0.01044 | 1 | 1 | 11.29 | 11.94 | 1294.33 | 0.01060 | 0.86 |
| 0.00489 | 1 | 1 | 30.52 | 11.37 | 1661.52 | 0.00500 | 1 |
| 0.00411 | 1 | 1 | 89.60 | 10.10 | 2852.67 | 0.00420 | 1 |
| 0.00151 | 1 | 1 | 18.61 | 5.83 | 399.84 | 0.00150 | 1 |
| 0.00229 | 1 | 1 | 137.43 | 11.55 | 2092.54 | 0.00240 | 1 |
| 0.00391 | 1 | 1 | 143.26 | 9.37 | 6318.03 | 0.00410 | 1 |
| 0.00135 | 1 | 1 | 13.17 | 9.48 | 559.70 | 0.00140 | 1 |
| 0.00029 | 1 | 1 | 56.24 | 7.74 | 1916.14 | 0033 | 1 |
| 0.00064 | 1 | 1 | 96.66 | 10.59 | 2164.33 | 0.00070 | 1 | | | N | p | cexp | [c]exp100 | σ[c]exp100 | λmax | [λ]max100 |
| --- | --- | --- | --- | --- | --- | --- |
| 20 | 0.4 | 7.3 | 7.6 | 0.6 | 0.9984 | 0.9985 |
| 40 | 0.2 | 7.7 | 7.8 | 0.5 | 0.9985 | 0.9985 |
| 80 | 0.1 | 7.8 | 7.9 | 0.4 | 0.9986 | 0.9985 |
| 160 | 0.05 | 8.2 | 8.0 | 0.3 | 0.9987 | 0.9985 |
| 5000 | 0.0016 | | | | 0.99850 | |
| 10000 | 0.0008 | | | | 0.99851 | |
| 20000 | 0.0004 | | | | 0.99850 | | | 0 |
| Simulationaverage | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| λparking | ηpark | ηorbit | Stockparking | Stockplane | TESSAC | λparking | ρparking |
| 0.00744 | 1 | 1 | 29.44 | 4.86 | 3284.41 | 0.00770 | 1 |
| 0.00942 | 1 | 1 | 17.17 | 6.32 | 1504.81 | 0.00950 | 1 |
| 0.01775 | 0.97 | 1 | 25.34 | 7.19 | 1028.39 | 0.01860 | 0.97 |
| 0.00207 | 1 | 1 | 19.41 | 9.91 | 730.26 | 0220 | 1 |
| 0.00806 | 1 | 0.99 | 36.80 | 4.77 | 1982.74 | 0.00850 | 0.99 |
| 0.00361 | 1 | 1 | 5.92 | 4.98 | 1412.43 | 0.00360 | 1 |
| 0.00061 | 1 | 1 | 87.32 | 8.07 | 5071.15 | 0.00.00065 | 1 |
| 0.00136 | 1 | 1 | 98.63 | 10.37 | 4790.68 | 0.00140 | 1 |
| 0.01754 | 1 | 1 | 13.07 | 9.39 | 571.37 | 0.01820 | 1 |
| 0.01044 | 1 | 1 | 11.29 | 11.94 | 1294.33 | 0.01060 | 0.86 |
| 0.00489 | 1 | 1 | 30.52 | 11.37 | 1661.52 | 0.00500 | 1 |
| 0.00411 | 1 | 1 | 89.60 | 10.10 | 2852.67 | 0.00420 | 1 |
| 0.00151 | 1 | 1 | 18.61 | 5.83 | 399.84 | 0.00150 | 1 |
| 0.00229 | 1 | 1 | 137.43 | 11.55 | 2092.54 | 0.00240 | 1 |
| 0.00391 | 1 | 1 | 143.26 | 9.37 | 6318.03 | 0.00410 | 1 | | | 0.00135 | 1 | 1 | 13.17 | 9.48 | 559.70 | 0.00140 | 1 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 0.00029 | 1 | 1 | 56.24 | 7.74 | 1916.14 | 0033 | 1 |
| 0.00064 | 1 | 1 | 96.66 | 10.59 | 2164.33 | 0.00070 | 1 |
| 0.00420 | 1 | 1 | 32.96 | 6.14 | 1136.27 | 0.00430 | 1 |
| 0.01608 | 1 | 1 | 10.93 | 7.53 | 529.90 | 0.01620 | 1 |
| 0.00543 | 1 | 1 | 11.59 | 10.32 | 712.02 | 0.00550 | 0.99 |
| 0.00151 | 1 | 1 | 44.69 | 12.45 | 3555.04 | 0.00160 | 1 |
| 0.01712 | 1 | 1 | 7.99 | 8.75 | 970.30 | 0.01710 | 0.99 |
| 0.00028 | 1 | 1 | 31.65 | 8.73 | 1320.43 | 0.00034 | 1 |
| 0.00442 | 1 | 0.95 | 26.23 | 3.38 | 966.61 | 0.00470 | 1 |
| 0.00.00176 | 1 | 1 | 82.91 | 9.43 | 970.63 | 0.00190 | 1 | | 1 |
| Simulationaverage | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| λparking | ηpark | ηorbit | Stockparking | Stockplane | TESSAC | λparking | ρparking |
| 0.00744 | 1 | 1 | 29.44 | 4.86 | 3284.41 | 0.00770 | 1 |
| 0.00942 | 1 | 1 | 17.17 | 6.32 | 1504.81 | 0.00950 | 1 |
| 0.01775 | 0.97 | 1 | 25.34 | 7.19 | 1028.39 | 0.01860 | 0.97 |
| 0.00207 | 1 | 1 | 19.41 | 9.91 | 730.26 | 0220 | 1 |
| 0.00806 | 1 | 0.99 | 36.80 | 4.77 | 1982.74 | 0.00850 | 0.99 |
| 0.00361 | 1 | 1 | 5.92 | 4.98 | 1412.43 | 0.00360 | 1 |
| 0.00061 | 1 | 1 | 87.32 | 8.07 | 5071.15 | 0.00.00065 | 1 |
| 0.00136 | 1 | 1 | 98.63 | 10.37 | 4790.68 | 0.00140 | 1 |
| 0.01754 | 1 | 1 | 13.07 | 9.39 | 571.37 | 0.01820 | 1 |
| 0.01044 | 1 | 1 | 11.29 | 11.94 | 1294.33 | 0.01060 | 0.86 |
| 0.00489 | 1 | 1 | 30.52 | 11.37 | 1661.52 | 0.00500 | 1 |
| 0.00411 | 1 | 1 | 89.60 | 10.10 | 2852.67 | 0.00420 | 1 |
| 0.00151 | 1 | 1 | 18.61 | 5.83 | 399.84 | 0.00150 | 1 |
| 0.00229 | 1 | 1 | 137.43 | 11.55 | 2092.54 | 0.00240 | 1 |
| 0.00391 | 1 | 1 | 143.26 | 9.37 | 6318.03 | 0.00410 | 1 | | | 10000 | 0.0008 | | | | 0.99851 | |
| --- | --- | --- | --- | --- | --- | --- |
| 20000 | 0.0004 | | | | 0.99850 | | | 0 |
| Methods | Data | Voc | BLEU |
| --- | --- | --- | --- |
| Enc-Dec(Luong,2015) | 36M | 80K | 31.5 |
| SMT(Durrani,2014) | 36M | Full | 37.0 |
| Deep-ED(Ours)<br>Deep-Att(Ours) | 36M<br>36M | 80K<br>80K | 36.3<br>37.7 |
| RNNsearch(Bahdanau,2014)<br>RNNsearch-LV(Jean,2015) | 12M<br>12M | 30K<br>500K | 28.5<br>32.7 | | | SMT(Schwenk,2014) | 12M | Full | 33.3 |
| --- | --- | --- | --- |
| Deep-Att(Ours) | 12M | 30K | 35.9 | | 1 |
| Methods | Data | Voc | BLEU |
| --- | --- | --- | --- |
| Enc-Dec(Luong,2015) | 36M | 80K | 31.5 |
| SMT(Durrani,2014) | 36M | Full | 37.0 |
| Deep-ED(Ours)<br>Deep-Att(Ours) | 36M<br>36M | 80K<br>80K | 36.3<br>37.7 |
| RNNsearch(Bahdanau,2014)<br>RNNsearch-LV(Jean,2015) | 12M<br>12M | 30K<br>500K | 28.5<br>32.7 | | | | σ | 10 | 20 | 30 | 40 | 50 | 60 | 70 | 80 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Dataset | Method | | | | | | | | |
| TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 34.74<br>34.79<br>35.17<br>35.06<br>35.11 | 30.87<br>31.22<br>31.46<br>31.51<br>31.43 | 28.97<br>29.23<br>29.28<br>29.31<br>29.26 | 27.89<br>27.91<br>28.02<br>28.04<br>28.07 | 26.04<br>26.53<br>26.66<br>26.67<br>26.74 | 24.92<br>24.89<br>25.39<br>25.43<br>25.38 | 24.45<br>24.78<br>25.14<br>25.11<br>25.19 | 23.80<br>23.81<br>24.66<br>24.51<br>24.71 |
| BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 34.24<br>34.22<br>34.72<br>34.69<br>34.71 | 30.69<br>31.01<br>31.19<br>31.09<br>31.11 | 28.66<br>29.02<br>29.11<br>29.09<br>29.06 | 27.69<br>27.68<br>27.51<br>27.53<br>27.85 | 25.93<br>26.23<br>26.56<br>26.48<br>26.61 | 25.10<br>25.22<br>25.68<br>25.66<br>25.64 | 24.22<br>24.56<br>24.92<br>24.79<br>24.94 | 23.46<br>23.58<br>24.39<br>24.41<br>24.47 |
| | | | | | | | | | |
| TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.947<br>0.944<br>0.968<br>0.962<br>0.958 | 0.930<br>0.935<br>0.938<br>0.934<br>0.933 | 0.900<br>0.904<br>0.912<br>0.916<br>0.912 | 0.861<br>0.868<br>0.874<br>0.875<br>0.877 | 0.841<br>0.848<br>0.856<br>0.860<br>0.862 | 0.817<br>0.818<br>0.828<br>0.827<br>0.829 | 0.798<br>0.807<br>0.816<br>0.818<br>0.816 | 0.775<br>0.787<br>0.800<br>0.794<br>0.802 |
| BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.938<br>0.939<br>0.961<br>0.953<br>0.956 | 0.925<br>0.923<br>0.931<br>0.926<br>0.929 | 0.897<br>0.899<br>0.907<br>0.908<br>0.910 | 0.856<br>0.859<br>0.867<br>0.866<br>0.866 | 0.830<br>0.833<br>0.848<br>0.849<br>0.851 | 0.822<br>0.827<br>0.835<br>0.834<br>0.836 | 0.790<br>0.793<br>0.806<br>0.810<br>0.811 | 0.766<br>0.774<br>0.792<br>0.793<br>0.798 | | 0 |
| Methods | Data | Voc | BLEU |
| --- | --- | --- | --- |
| Enc-Dec(Luong,2015) | 36M | 80K | 31.5 |
| SMT(Durrani,2014) | 36M | Full | 37.0 |
| Deep-ED(Ours)<br>Deep-Att(Ours) | 36M<br>36M | 80K<br>80K | 36.3<br>37.7 | | | RNNsearch(Bahdanau,2014)<br>RNNsearch-LV(Jean,2015) | 12M<br>12M | 30K<br>500K | 28.5<br>32.7 |
| --- | --- | --- | --- |
| SMT(Schwenk,2014) | 12M | Full | 33.3 |
| Deep-Att(Ours) | 12M | 30K | 35.9 | | 1 |
| Methods | Data | Voc | BLEU |
| --- | --- | --- | --- |
| Enc-Dec(Luong,2015) | 36M | 80K | 31.5 |
| SMT(Durrani,2014) | 36M | Full | 37.0 |
| Deep-ED(Ours)<br>Deep-Att(Ours) | 36M<br>36M | 80K<br>80K | 36.3<br>37.7 | | | TID2008 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.947<br>0.944<br>0.968<br>0.962<br>0.958 | 0.930<br>0.935<br>0.938<br>0.934<br>0.933 | 0.900<br>0.904<br>0.912<br>0.916<br>0.912 | 0.861<br>0.868<br>0.874<br>0.875<br>0.877 | 0.841<br>0.848<br>0.856<br>0.860<br>0.862 | 0.817<br>0.818<br>0.828<br>0.827<br>0.829 | 0.798<br>0.807<br>0.816<br>0.818<br>0.816 | 0.775<br>0.787<br>0.800<br>0.794<br>0.802 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| BSDS500 | K-SVD<br>SURE-GMM<br>BM3D<br>NL-Bayes<br>Ours | 0.938<br>0.939<br>0.961<br>0.953<br>0.956 | 0.925<br>0.923<br>0.931<br>0.926<br>0.929 | 0.897<br>0.899<br>0.907<br>0.908<br>0.910 | 0.856<br>0.859<br>0.867<br>0.866<br>0.866 | 0.830<br>0.833<br>0.848<br>0.849<br>0.851 | 0.822<br>0.827<br>0.835<br>0.834<br>0.836 | 0.790<br>0.793<br>0.806<br>0.810<br>0.811 | 0.766<br>0.774<br>0.792<br>0.793<br>0.798 | | 0 |
| Instancetype | Average | stdev | Min | Max | OnDemand |
| --- | --- | --- | --- | --- | --- |
| m1.small | 0.041 | 0.003 | 0.038 | 0.05 | 0.06 | | | m1.medium | 0.0676 | 0.003 | 0.064 | 0.08 | 0.12 |
| --- | --- | --- | --- | --- | --- |
| m1.large | 0.160 | 0.005 | 0.152 | 0.172 | 0.24 |
| m1.xlarge | 0.320 | 0.009 | 0.304 | 0.336 | 0.48 | | 1 |
| Instancetype | Average | stdev | Min | Max | OnDemand |
| --- | --- | --- | --- | --- | --- |
| m1.small | 0.041 | 0.003 | 0.038 | 0.05 | 0.06 | | | | M1 | M2 | M3 | M4 | CE | M5 |
| --- | --- | --- | --- | --- | --- | --- |
| O1 | 0.763 | 0.775 | 0.694 | 0.602 | 0.701 | 0.534 |
| O2 | 1.05 | 1.02 | 0.894 | 0.838 | 0.908 | 0.752 |
| O3 | 0.781 | 0.693 | 0.674 | 0.571 | 0.561 | 0.549 |
| O4 | 0.310 | 0.307 | 0.265 | 0.238 | 0.236 | 0.212 |
| O5 | 0.344 | 0.321 | 0.297 | 0.256 | 0.251 | 0.231 |
| O6 | 0.732 | 0.714 | 0.593 | 0.576 | 0.585 | 0.541 | | 0 |
| Instancetype | Average | stdev | Min | Max | OnDemand |
| --- | --- | --- | --- | --- | --- |
| m1.small | 0.041 | 0.003 | 0.038 | 0.05 | 0.06 |
| m1.medium | 0.0676 | 0.003 | 0.064 | 0.08 | 0.12 | | | m1.large | 0.160 | 0.005 | 0.152 | 0.172 | 0.24 |
| --- | --- | --- | --- | --- | --- |
| m1.xlarge | 0.320 | 0.009 | 0.304 | 0.336 | 0.48 | | 1 |
| Instancetype | Average | stdev | Min | Max | OnDemand |
| --- | --- | --- | --- | --- | --- |
| m1.small | 0.041 | 0.003 | 0.038 | 0.05 | 0.06 |
| m1.medium | 0.0676 | 0.003 | 0.064 | 0.08 | 0.12 | | | O2 | 1.05 | 1.02 | 0.894 | 0.838 | 0.908 | 0.752 |
| --- | --- | --- | --- | --- | --- | --- |
| O3 | 0.781 | 0.693 | 0.674 | 0.571 | 0.561 | 0.549 |
| O4 | 0.310 | 0.307 | 0.265 | 0.238 | 0.236 | 0.212 |
| O5 | 0.344 | 0.321 | 0.297 | 0.256 | 0.251 | 0.231 |
| O6 | 0.732 | 0.714 | 0.593 | 0.576 | 0.585 | 0.541 | | 0 |
| | Original | V1 | V1Fine | V2 | V2Fine |
| --- | --- | --- | --- | --- | --- |
| Chores | 20.00 | 5.56 | 25.0 | N/A | N/A |
| Driving | 96.62 | 18.6 | 100.0 | 0.0 | 100.0 |
| Cooking | 60.53 | 0.0 | 25.0 | N/A | N/A |
| Exercising | 73.00 | 0.0 | 50.0 | N/A | N/A |
| Reading | 53.36 | 77.78 | 75.0 | N/A | N/A |
| Presentation | 87.06 | N/A | N/A | N/A | N/A |
| Dogs | 66.09 | N/A | N/A | N/A | N/A |
| Resting | 45.45 | N/A | N/A | N/A | N/A |
| Eating | 83.12 | 11.48 | 76.92 | 30.68 | 100.0 | | | Working | 95.19 | 31.59 | 98.32 | 39.14 | 94.44 |
| --- | --- | --- | --- | --- | --- |
| Chatting | 17.39 | 0.0 | 86.67 | 0.0 | 96.72 |
| TV | 81.75 | 0.0 | 33.33 | N/A | N/A |
| Meeting | 81.47 | 0.0 | 100.0 | 0.0 | 60.0 |
| Cleaning | 46.09 | 0.0 | 0.0 | N/A | N/A |
| Socializing | 45.08 | 0.0 | 0.0 | 0.0 | 83.33 |
| Shopping | 64.75 | 40.0 | 50.0 | N/A | N/A |
| Biking | 81.88 | N/A | N/A | N/A | N/A |
| Walking | N/A | 0.0 | 57.14 | N/A | N/A |
| Family | 90.15 | N/A | N/A | N/A | N/A |
| Hygiene | 62.60 | 13.33 | 0.0 | 27.78 | 81.82 |
| ClassAcc | 65.87 | 10.56 | 51.83 | 13.94 | 88.05 |
| TotalAcc | 83.07 | 23.58 | 86.76 | 27.06 | 91.23 | | 1 |
| | Original | V1 | V1Fine | V2 | V2Fine |
| --- | --- | --- | --- | --- | --- |
| Chores | 20.00 | 5.56 | 25.0 | N/A | N/A |
| Driving | 96.62 | 18.6 | 100.0 | 0.0 | 100.0 |
| Cooking | 60.53 | 0.0 | 25.0 | N/A | N/A |
| Exercising | 73.00 | 0.0 | 50.0 | N/A | N/A |
| Reading | 53.36 | 77.78 | 75.0 | N/A | N/A |
| Presentation | 87.06 | N/A | N/A | N/A | N/A |
| Dogs | 66.09 | N/A | N/A | N/A | N/A |
| Resting | 45.45 | N/A | N/A | N/A | N/A |
| Eating | 83.12 | 11.48 | 76.92 | 30.68 | 100.0 | | | | kNN | RDF | CNN | CNN+LF |
| --- | --- | --- | --- | --- |
| Chores | 33.10 | 17.24 | 00.69 | 20.00 |
| Driving | 55.07 | 60.87 | 98.55 | 96.62 |
| Cooking | 25.66 | 35.53 | 47.37 | 60.53 |
| Exercising | 44.00 | 63.00 | 69.00 | 73.00 |
| Reading | 68.55 | 49.12 | 30.04 | 53.36 |
| Presentation | 80.00 | 72.35 | 80.59 | 87.06 |
| Dogs | 62.17 | 44.35 | 55.65 | 66.09 |
| Resting | 72.73 | 54.55 | 27.27 | 45.45 |
| Eating | 77.14 | 75.75 | 82.05 | 83.12 |
| Working | 91.10 | 96.42 | 93.49 | 95.19 |
| Chatting | 21.74 | 04.35 | 00.00 | 17.39 |
| TV | 77.38 | 75.79 | 81.75 | 81.75 |
| Meeting | 68.73 | 61.00 | 73.36 | 81.47 |
| Cleaning | 26.56 | 30.47 | 38.28 | 46.09 |
| Socializing | 52.85 | 37.31 | 31.60 | 45.08 |
| Shopping | 40.16 | 27.87 | 63.93 | 64.75 |
| Biking | 19.57 | 23.19 | 78.26 | 81.88 |
| Family | 70.82 | 87.42 | 86.69 | 90.15 |
| Hygiene | 52.36 | 46.85 | 51.57 | 62.60 |
| Avg.ClassAccuracy | 54.72 | 50.71 | 57.38 | 65.87 |
| TotalAccuracy | 73.07 | 76.06 | 78.56 | 83.07 | | 0 |
| | Original | V1 | V1Fine | V2 | V2Fine |
| --- | --- | --- | --- | --- | --- |
| Chores | 20.00 | 5.56 | 25.0 | N/A | N/A |
| Driving | 96.62 | 18.6 | 100.0 | 0.0 | 100.0 |
| Cooking | 60.53 | 0.0 | 25.0 | N/A | N/A |
| Exercising | 73.00 | 0.0 | 50.0 | N/A | N/A |
| Reading | 53.36 | 77.78 | 75.0 | N/A | N/A |
| Presentation | 87.06 | N/A | N/A | N/A | N/A | | | Dogs | 66.09 | N/A | N/A | N/A | N/A |
| --- | --- | --- | --- | --- | --- |
| Resting | 45.45 | N/A | N/A | N/A | N/A |
| Eating | 83.12 | 11.48 | 76.92 | 30.68 | 100.0 |
| Working | 95.19 | 31.59 | 98.32 | 39.14 | 94.44 |
| Chatting | 17.39 | 0.0 | 86.67 | 0.0 | 96.72 |
| TV | 81.75 | 0.0 | 33.33 | N/A | N/A |
| Meeting | 81.47 | 0.0 | 100.0 | 0.0 | 60.0 |
| Cleaning | 46.09 | 0.0 | 0.0 | N/A | N/A |
| Socializing | 45.08 | 0.0 | 0.0 | 0.0 | 83.33 |
| Shopping | 64.75 | 40.0 | 50.0 | N/A | N/A |
| Biking | 81.88 | N/A | N/A | N/A | N/A |
| Walking | N/A | 0.0 | 57.14 | N/A | N/A |
| Family | 90.15 | N/A | N/A | N/A | N/A |
| Hygiene | 62.60 | 13.33 | 0.0 | 27.78 | 81.82 |
| ClassAcc | 65.87 | 10.56 | 51.83 | 13.94 | 88.05 |
| TotalAcc | 83.07 | 23.58 | 86.76 | 27.06 | 91.23 | | 1 |
| | Original | V1 | V1Fine | V2 | V2Fine |
| --- | --- | --- | --- | --- | --- |
| Chores | 20.00 | 5.56 | 25.0 | N/A | N/A |
| Driving | 96.62 | 18.6 | 100.0 | 0.0 | 100.0 |
| Cooking | 60.53 | 0.0 | 25.0 | N/A | N/A |
| Exercising | 73.00 | 0.0 | 50.0 | N/A | N/A |
| Reading | 53.36 | 77.78 | 75.0 | N/A | N/A |
| Presentation | 87.06 | N/A | N/A | N/A | N/A | | | Avg.ClassAccuracy | 54.72 | 50.71 | 57.38 | 65.87 |
| --- | --- | --- | --- | --- |
| TotalAccuracy | 73.07 | 76.06 | 78.56 | 83.07 | | 0 |
| | DQN | D-DQN | DuelingD-DQN | Human |
| --- | --- | --- | --- | --- |
| F-Zero | 3116 | 3636 | 5161 | 6298 | | | GradiusIII | 7583 | 12343 | 16929 | 24440 |
| --- | --- | --- | --- | --- |
| MortalKombat | 83733 | 56200 | 169300 | 132441 |
| SuperMario | 11765 | 16946 | 20030 | 36386 |
| Wolfenstein | 100 | 83 | 40 | 2952 | | 1 |
| | DQN | D-DQN | DuelingD-DQN | Human |
| --- | --- | --- | --- | --- |
| F-Zero | 3116 | 3636 | 5161 | 6298 | | | Approaches | One-best | Lattices | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Usersimulator | Dialoguemanager | Inputfeature | MAP | Return | MAP | Return |
| (a)Rule-based | (a-1)DQN | Raw | 0.5641 | 99.31 | 0.5847 | 112.24 |
| Human+Raw | 0.5655 | 107.02 | 0.5790 | 101.99 | | |
| (a-2)DoubleDQN | Raw | 0.5744 | 107.08 | 0.5911 | 112.14 | |
| Human+Raw | 0.5846 | 115.70 | 0.5959 | 102.52 | | |
| (a-3)DuelingDQN | Raw | 0.5562 | 96.27 | 0.5860 | 113.70 | |
| Human+Raw | 0.5665 | 105.35 | 0.5784 | 96.37 | | |
| (b-1)DQN | DQN | Raw | 0.5758 | 113.02 | 0.6041 | 162.85 |
| Human+Raw | 0.5820 | 130.83 | 0.6027 | 162.93 | | |
| (b-2)DoubleDQN | DoubleDQN | Raw | 0.6063 | 190.39 | 0.6414 | 224.42 |
| Human+Raw | 0.6066 | 199.17 | 0.6375 | 222.66 | | |
| (b-3)DuelingDQN | DuelingDQN | Raw | 0.5780 | 108.72 | 0.5864 | 157.92 |
| Human+Raw | 0.5757 | 127.49 | 0.5723 | 158.23 | | |
| (c-1)DoubleDQN | DuelingDQN | Raw | 0.5733 | 134.20 | 0.5678 | 143.83 |
| Human+Raw | 0.5573 | 111.84 | 0.5905 | 146.83 | | |
| (c-2)DuelingDQN | DoubleDQN | Raw | 0.5899 | 164.00 | 0.6494 | 238.91 |
| Human+Raw | 0.6139 | 208.25 | 0.6420 | 225.72 | | | | 0 |
| | DQN | D-DQN | DuelingD-DQN | Human |
| --- | --- | --- | --- | --- |
| F-Zero | 3116 | 3636 | 5161 | 6298 | | | GradiusIII | 7583 | 12343 | 16929 | 24440 |
| --- | --- | --- | --- | --- |
| MortalKombat | 83733 | 56200 | 169300 | 132441 |
| SuperMario | 11765 | 16946 | 20030 | 36386 |
| Wolfenstein | 100 | 83 | 40 | 2952 | | 1 |
| | DQN | D-DQN | DuelingD-DQN | Human |
| --- | --- | --- | --- | --- |
| F-Zero | 3116 | 3636 | 5161 | 6298 | | | Human+Raw | 0.5665 | 105.35 | 0.5784 | 96.37 | | |
| --- | --- | --- | --- | --- | --- | --- |
| (b-1)DQN | DQN | Raw | 0.5758 | 113.02 | 0.6041 | 162.85 |
| Human+Raw | 0.5820 | 130.83 | 0.6027 | 162.93 | | |
| (b-2)DoubleDQN | DoubleDQN | Raw | 0.6063 | 190.39 | 0.6414 | 224.42 |
| Human+Raw | 0.6066 | 199.17 | 0.6375 | 222.66 | | |
| (b-3)DuelingDQN | DuelingDQN | Raw | 0.5780 | 108.72 | 0.5864 | 157.92 |
| Human+Raw | 0.5757 | 127.49 | 0.5723 | 158.23 | | |
| (c-1)DoubleDQN | DuelingDQN | Raw | 0.5733 | 134.20 | 0.5678 | 143.83 |
| Human+Raw | 0.5573 | 111.84 | 0.5905 | 146.83 | | |
| (c-2)DuelingDQN | DoubleDQN | Raw | 0.5899 | 164.00 | 0.6494 | 238.91 |
| Human+Raw | 0.6139 | 208.25 | 0.6420 | 225.72 | | | | 0 |
| | tree<br>RMSEranktime | rice<br>RMSEranktime |
| --- | --- | --- |
| APG | 0.433±0.001180308.7±71.9 | 0.224±0.002148242.3±27.8 |
| AIS-Impute | 0.432±0.001181251.6±61.7 | 0.225±0.002150138.1±5.7 |
| active | 0.445±0.001222935.5±117.9 | 0.263±0.002170640.8±10.8 |
| LMaFit | 0.518±0.01295.4±1.1 | 0.281±0.031107.8±1.6 | | | ER1MP | 0.473±0.001191.5±0.2 | 0.295±0.002222.2±0.6 |
| --- | --- | --- |
| IRNN | 0.416±0.00312204.9±19.0 | 0.197±0.00315480.0±50.5 |
| GPG | 0.417±0.00412195.9±17.5 | 0.197±0.00315464.3±55.0 |
| FaNCL | 0.416±0.0021210.6±1.8 | 0.198±0.0041525.0±1.8 |
| FaNCL-acc | 0.414±0.001125.4±0.8 | 0.197±0.001158.4±1.2 | | 1 |
| | tree<br>RMSEranktime | rice<br>RMSEranktime |
| --- | --- | --- |
| APG | 0.433±0.001180308.7±71.9 | 0.224±0.002148242.3±27.8 |
| AIS-Impute | 0.432±0.001181251.6±61.7 | 0.225±0.002150138.1±5.7 |
| active | 0.445±0.001222935.5±117.9 | 0.263±0.002170640.8±10.8 |
| LMaFit | 0.518±0.01295.4±1.1 | 0.281±0.031107.8±1.6 | | | | broccoli<br>RMSEranktime | cabbage<br>RMSEranktime |
| --- | --- | --- |
| AIS-Impute | 0.275±0.00134560±90 | 0.180±0.00128493±46 |
| LMaFit | 0.302±0.00126±2 | 0.181±0.00136±3 |
| ER1MP | 0.344±0.0022188±12 | 0.252±0.0034175±23 |
| FaNCL | 0.252±0.00396079±1378 | 0.149±0.001103243±163 |
| FaNCL-acc | 0.251±0.0049274±77 | 0.149±0.00110221±12 | | 0 |
| | tree<br>RMSEranktime | rice<br>RMSEranktime |
| --- | --- | --- |
| APG | 0.433±0.001180308.7±71.9 | 0.224±0.002148242.3±27.8 |
| AIS-Impute | 0.432±0.001181251.6±61.7 | 0.225±0.002150138.1±5.7 |
| active | 0.445±0.001222935.5±117.9 | 0.263±0.002170640.8±10.8 |
| LMaFit | 0.518±0.01295.4±1.1 | 0.281±0.031107.8±1.6 |
| ER1MP | 0.473±0.001191.5±0.2 | 0.295±0.002222.2±0.6 |
| IRNN | 0.416±0.00312204.9±19.0 | 0.197±0.00315480.0±50.5 | | | GPG | 0.417±0.00412195.9±17.5 | 0.197±0.00315464.3±55.0 |
| --- | --- | --- |
| FaNCL | 0.416±0.0021210.6±1.8 | 0.198±0.0041525.0±1.8 |
| FaNCL-acc | 0.414±0.001125.4±0.8 | 0.197±0.001158.4±1.2 | | 1 |
| | tree<br>RMSEranktime | rice<br>RMSEranktime |
| --- | --- | --- |
| APG | 0.433±0.001180308.7±71.9 | 0.224±0.002148242.3±27.8 |
| AIS-Impute | 0.432±0.001181251.6±61.7 | 0.225±0.002150138.1±5.7 |
| active | 0.445±0.001222935.5±117.9 | 0.263±0.002170640.8±10.8 |
| LMaFit | 0.518±0.01295.4±1.1 | 0.281±0.031107.8±1.6 |
| ER1MP | 0.473±0.001191.5±0.2 | 0.295±0.002222.2±0.6 |
| IRNN | 0.416±0.00312204.9±19.0 | 0.197±0.00315480.0±50.5 | | | LMaFit | 0.302±0.00126±2 | 0.181±0.00136±3 |
| --- | --- | --- |
| ER1MP | 0.344±0.0022188±12 | 0.252±0.0034175±23 |
| FaNCL | 0.252±0.00396079±1378 | 0.149±0.001103243±163 |
| FaNCL-acc | 0.251±0.0049274±77 | 0.149±0.00110221±12 | | 0 |
| Scale | ODS | OIS | AP |
| --- | --- | --- | --- |
| 64 | 0.71 | 0.73 | 0.76 |
| 128 | 0.72 | 0.74 | 0.78 |
| 196 | 0.71 | 0.73 | 0.76 | | | FullImage | 0.67 | 0.69 | 0.57 |
| --- | --- | --- | --- |
| 64,128 | 0.72 | 0.75 | 0.78 |
| 64,128,196 | 0.72 | 0.75 | 0.78 |
| 64,128,196,FullImage | 0.75 | 0.77 | 0.81 | | 1 |
| Scale | ODS | OIS | AP |
| --- | --- | --- | --- |
| 64 | 0.71 | 0.73 | 0.76 |
| 128 | 0.72 | 0.74 | 0.78 |
| 196 | 0.71 | 0.73 | 0.76 | | | Conv.Layers | ODS | OIS | AP |
| --- | --- | --- | --- |
| st<br>1 | 0.66 | 0.68 | 0.69 |
| 2 | 0.71 | 0.74 | 0.76 |
| 3 | 0.74 | 0.75 | 0.79 |
| 4 | 0.74 | 0.76 | 0.79 |
| 5 | 0.73 | 0.74 | 0.77 |
| All | 0.75 | 0.77 | 0.81 | | 0 |
| Scale | ODS | OIS | AP |
| --- | --- | --- | --- |
| 64 | 0.71 | 0.73 | 0.76 |
| 128 | 0.72 | 0.74 | 0.78 | | | 196 | 0.71 | 0.73 | 0.76 |
| --- | --- | --- | --- |
| FullImage | 0.67 | 0.69 | 0.57 |
| 64,128 | 0.72 | 0.75 | 0.78 |
| 64,128,196 | 0.72 | 0.75 | 0.78 |
| 64,128,196,FullImage | 0.75 | 0.77 | 0.81 | | 1 |
| Scale | ODS | OIS | AP |
| --- | --- | --- | --- |
| 64 | 0.71 | 0.73 | 0.76 |
| 128 | 0.72 | 0.74 | 0.78 | | | 2 | 0.71 | 0.74 | 0.76 |
| --- | --- | --- | --- |
| 3 | 0.74 | 0.75 | 0.79 |
| 4 | 0.74 | 0.76 | 0.79 |
| 5 | 0.73 | 0.74 | 0.77 |
| All | 0.75 | 0.77 | 0.81 | | 0 |
| Model | SWBSub. | SWBDel. | SWBIns. |
| --- | --- | --- | --- |
| PhoneCTC | 5.8 | 2.7 | 1.1 |
| WordCTC | 7.4(+1.6) | 4.1(+1.4) | 1.6(+0.5) |
| +LMresc. | 6.4(+0.6) | 4.6(+1.9) | 1.5(+0.4) | | | Model | CHSub. | CHDel. | CHIns. |
| --- | --- | --- | --- |
| PhoneCTC | 9.6 | 4.7 | 1.7 |
| WordCTC | 10.3(+0.7) | 6.4(+1.7) | 2.1(+0.4) |
| +LMresc. | 10.0(+0.4) | 6.1(+1.4) | 1.9(+0.2) | | 1 |
| Model | SWBSub. | SWBDel. | SWBIns. |
| --- | --- | --- | --- |
| PhoneCTC | 5.8 | 2.7 | 1.1 |
| WordCTC | 7.4(+1.6) | 4.1(+1.4) | 1.6(+0.5) |
| +LMresc. | 6.4(+0.6) | 4.6(+1.9) | 1.5(+0.4) | | | Model | VerbSim | SimLexverbs |
| --- | --- | --- |
| Bag-of-Words-10K | 0.385 | 0.085 |
| Single-10k | 0.561 | 0.090 |
| Joint-10k | 0.568 | 0.105 |
| Bag-of-Words-50K | 0.478 | 0.095 |
| Single-50k | 0.592 | 0.115 |
| Joint-50k | 0.592 | 0.105 |
| Bag-of-Words-100K | 0.488 | 0.114 |
| Single-100k | 0.587 | 0.132 |
| Joint-100k | 0.607 | 0.114 | | 0 |
| Model | SWBSub. | SWBDel. | SWBIns. |
| --- | --- | --- | --- |
| PhoneCTC | 5.8 | 2.7 | 1.1 |
| WordCTC | 7.4(+1.6) | 4.1(+1.4) | 1.6(+0.5) |
| +LMresc. | 6.4(+0.6) | 4.6(+1.9) | 1.5(+0.4) | | | Model | CHSub. | CHDel. | CHIns. |
| --- | --- | --- | --- |
| PhoneCTC | 9.6 | 4.7 | 1.7 |
| WordCTC | 10.3(+0.7) | 6.4(+1.7) | 2.1(+0.4) |
| +LMresc. | 10.0(+0.4) | 6.1(+1.4) | 1.9(+0.2) | | 1 |
| Model | SWBSub. | SWBDel. | SWBIns. |
| --- | --- | --- | --- |
| PhoneCTC | 5.8 | 2.7 | 1.1 |
| WordCTC | 7.4(+1.6) | 4.1(+1.4) | 1.6(+0.5) |
| +LMresc. | 6.4(+0.6) | 4.6(+1.9) | 1.5(+0.4) | | | Single-50k | 0.592 | 0.115 |
| --- | --- | --- |
| Joint-50k | 0.592 | 0.105 |
| Bag-of-Words-100K | 0.488 | 0.114 |
| Single-100k | 0.587 | 0.132 |
| Joint-100k | 0.607 | 0.114 | | 0 |
| Symbol | Definition |
| --- | --- |
| N | amountofrequestsattimeslott |
| M | numberofresourcetypes |
| | |
| C | currentavailaberesourceC={c,c,...,c}12M |
| W | totalresourcesW={w,w,...,w}12M |
| L | prioritylevel | | | K | amountofacceptedrequestedattimeslot |
| --- | --- |
| α | constantbasicpricevalue |
| β | influencefactorofpriority | | 1 |
| Symbol | Definition |
| --- | --- |
| N | amountofrequestsattimeslott |
| M | numberofresourcetypes |
| | |
| C | currentavailaberesourceC={c,c,...,c}12M |
| W | totalresourcesW={w,w,...,w}12M |
| L | prioritylevel | | | Notation | Description |
| --- | --- |
| puv | theprobabilityofedgeeu,v |
| p(u,v)r | thereachabilityprobabilityfromutov |
| p(u,v)i | theipathfromutov |
| ruv | thesumofthepathsfromutov |
| wu | theweightofnodeu |
| IVT(u) | theinfluencevaluetreeofu |
| WDT(u) | theweightdiscounttreeofu |
| Vu | thevalueofnodeu |
| Wu | thevaluegeneratedbyuinu’sneighborhood |
| Ou | thesetofsuccessorsofu |
| Iu | thesetofpredecessorsofu |
| θ | boundparameterofBWRalgorithm |
| α | stepswhichinfluencecanpropagate |
| β | performanceboundofBWR | | 0 |
| Symbol | Definition |
| --- | --- |
| N | amountofrequestsattimeslott |
| M | numberofresourcetypes |
| | | | | C | currentavailaberesourceC={c,c,...,c}12M |
| --- | --- |
| W | totalresourcesW={w,w,...,w}12M |
| L | prioritylevel |
| K | amountofacceptedrequestedattimeslot |
| α | constantbasicpricevalue |
| β | influencefactorofpriority | | 1 |
| Symbol | Definition |
| --- | --- |
| N | amountofrequestsattimeslott |
| M | numberofresourcetypes |
| | | | | p(u,v)r | thereachabilityprobabilityfromutov |
| --- | --- |
| p(u,v)i | theipathfromutov |
| ruv | thesumofthepathsfromutov |
| wu | theweightofnodeu |
| IVT(u) | theinfluencevaluetreeofu |
| WDT(u) | theweightdiscounttreeofu |
| Vu | thevalueofnodeu |
| Wu | thevaluegeneratedbyuinu’sneighborhood |
| Ou | thesetofsuccessorsofu |
| Iu | thesetofpredecessorsofu |
| θ | boundparameterofBWRalgorithm |
| α | stepswhichinfluencecanpropagate |
| β | performanceboundofBWR | | 0 |
| Parameter | Value |
| --- | --- |
| A=Apn | 4000 |
| xp | 0.3 |
| xn | 0.5 | | | αp | 1 |
| --- | --- |
| αn | 5 |
| a=a12 | 0.17 |
| b | 0.05 |
| Vp | 0.16[V] |
| Vn | -0.15[V] | | 1 |
| Parameter | Value |
| --- | --- |
| A=Apn | 4000 |
| xp | 0.3 |
| xn | 0.5 | | | parameter | value | parameter | value | parameter | value |
| --- | --- | --- | --- | --- | --- |
| Ron | 10 | Roff | 1 | vc | 1 |
| α | 60 | C | 10 | k | ∞ |
| Vt | 0 | γ | 60 | q | 10 |
| m0 | −400 | m1 | 400 | imin | 10 |
| imax | 20 | ki | 10 | ks | 10 |
| δs | 0 | δi | 0 | | | | 0 |
| Parameter | Value |
| --- | --- |
| A=Apn | 4000 |
| xp | 0.3 |
| xn | 0.5 | | | αp | 1 |
| --- | --- |
| αn | 5 |
| a=a12 | 0.17 |
| b | 0.05 |
| Vp | 0.16[V] |
| Vn | -0.15[V] | | 1 |
| Parameter | Value |
| --- | --- |
| A=Apn | 4000 |
| xp | 0.3 |
| xn | 0.5 | | | α | 60 | C | 10 | k | ∞ |
| --- | --- | --- | --- | --- | --- |
| Vt | 0 | γ | 60 | q | 10 |
| m0 | −400 | m1 | 400 | imin | 10 |
| imax | 20 | ki | 10 | ks | 10 |
| δs | 0 | δi | 0 | | | | 0 |
| Communities | Individuals |
| --- | --- |
| n1 | ltol16 |
| n2 | l,ltol1812 |
| n3 | l,ltol11317 |
| n4 | l,ltol11822 |
| n5 | l,ltol12327 |
| n6 | l,ltol22831 |
| n7 | l,ltol33235 |
| n8 | l,ltol33639 |
| n9 | l,ltol44043 | | | n10 | l,l,ltol474446 |
| --- | --- |
| n11 | l,l,ltol574750 |
| n12 | l,ltol65154 | | 1 |
| Communities | Individuals |
| --- | --- |
| n1 | ltol16 |
| n2 | l,ltol1812 |
| n3 | l,ltol11317 |
| n4 | l,ltol11822 |
| n5 | l,ltol12327 |
| n6 | l,ltol22831 |
| n7 | l,ltol33235 |
| n8 | l,ltol33639 |
| n9 | l,ltol44043 | | | | MetaSDNet-01 | pyMDNet-30 | pyMDNet-15 | pyMDNet-10 | pyMDNet-05 | pyMDNet-03 | pyMDNet-01 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Girl2 | 0.7303 | 0.7339 | 0.7238 | 0.7257 | 0.6038 | 0.5872 | 0.6081 |
| Gym | 0.5068 | 0.5141 | 0.4567 | 0.5176 | 0.4625 | 0.4484 | 0.0254 |
| Human2 | 0.7011 | 0.6262 | 0.7356 | 0.6797 | 0.6608 | 0.7351 | 0.402 |
| Human3 | 0.5686 | 0.4716 | 0.0142 | 0.4545 | 0.5624 | 0.5327 | 0.0008 |
| Human4-2 | 0.5927 | 0.6185 | 0.6038 | 0.567 | 0.5992 | 0.5804 | 0.0834 |
| Human5 | 0.7134 | 0.624 | 0.6092 | 0.6533 | 0.7008 | 0.6225 | 0.5703 |
| Human6 | 0.7504 | 0.694 | 0.7627 | 0.5205 | 0.7575 | 0.0121 | 0.003 |
| Human7 | 0.7922 | 0.704 | 0.7021 | 0.6583 | 0.7718 | 0.795 | 0.5217 |
| Human8 | 0.7024 | 0.6064 | 0.6399 | 0.5688 | 0.5435 | 0.5487 | 0.4799 |
| Human9 | 0.664 | 0.5661 | 0.5538 | 0.4515 | 0.484 | 0.0073 | 0.0031 |
| Ironman | 0.4604 | 0.428 | 0.1816 | 0.4418 | 0.0138 | 0.1411 | 0.3368 |
| Jogging-1 | 0.7098 | 0.7711 | 0.7369 | 0.7773 | 0.749 | 0.7217 | 0.4915 |
| Jogging-2 | 0.7389 | 0.7439 | 0.7602 | 0.731 | 0.7565 | 0.7214 | 0.0338 |
| Jump | 0.0496 | 0.1593 | 0.251 | 0.1659 | 0.1694 | 0.0656 | 0.0582 |
| Jumping | 0.6867 | 0.7176 | 0.7157 | 0.6872 | 0.7184 | 0.5757 | 0.5276 |
| KiteSurf | 0.7098 | 0.7676 | 0.6298 | 0.343 | 0.7358 | 0.6865 | 0.7103 |
| Lemming | 0.7499 | 0.7108 | 0.7356 | 0.7582 | 0.7461 | 0.0215 | 0.0213 |
| Liquor | 0.7915 | 0.6435 | 0.7477 | 0.6869 | 0.7283 | 0.6757 | 0.1501 |
| Man | 0.8077 | 0.8017 | 0.779 | 0.7903 | 0.79 | 0.8088 | 0.8006 |
| Matrix | 0.279 | 0.4671 | 0.4476 | 0.4724 | 0.4705 | 0.1057 | 0.0705 |
| Mhyang | 0.7521 | 0.8094 | 0.8147 | 0.7603 | 0.6258 | 0.6084 | 0.674 |
| MotorRolling | 0.5839 | 0.5833 | 0.5851 | 0.5976 | 0.5738 | 0.1283 | 0.2398 |
| MountainBike | 0.7652 | 0.7172 | 0.7366 | 0.6433 | 0.7135 | 0.0063 | 0.0063 |
| Panda | 0.6096 | 0.5238 | 0.5448 | 0.57 | 0.5035 | 0.5199 | 0.4794 |
| RedTeam | 0.559 | 0.5711 | 0.6262 | 0.5641 | 0.5719 | 0.5234 | 0.2384 |
| Rubik | 0.7301 | 0.7106 | 0.7157 | 0.7075 | 0.7009 | 0.7092 | 0.0121 |
| Shaking | 0.6814 | 0.5986 | 0.6864 | 0.0907 | 0.0421 | 0.6373 | 0.0566 |
| Singer1 | 0.7614 | 0.7159 | 0.7422 | 0.7128 | 0.6918 | 0.4938 | 0.6759 |
| Singer2 | 0.6043 | 0.6906 | 0.0389 | 0.0848 | 0.0628 | 0.006 | 0.0034 |
| Skater | 0.5256 | 0.5482 | 0.6131 | 0.5643 | 0.5827 | 0.5601 | 0.6149 |
| Skater2 | 0.5395 | 0.5747 | 0.6726 | 0.5111 | 0.417 | 0.0297 | 0.0363 |
| Skating1 | 0.6006 | 0.6439 | 0.5325 | 0.5804 | 0.6102 | 0.5495 | 0.592 |
| Skating2-1 | 0.481 | 0.5028 | 0.4327 | 0.4521 | 0.4986 | 0.4919 | 0.4462 |
| Skating2-2 | 0.3244 | 0.4951 | 0.5316 | 0.3864 | 0.4175 | 0.0196 | 0.017 |
| Skiing | 0.4891 | 0.495 | 0.5056 | 0.4633 | 0.4762 | 0.3774 | 0.3633 |
| Soccer | 0.4948 | 0.4218 | 0.3805 | 0.4939 | 0.4021 | 0.3697 | 0.4123 |
| Subway | 0.7546 | 0.6754 | 0.6751 | 0.6724 | 0.6528 | 0.6727 | 0.6833 |
| Surfer | 0.7007 | 0.7285 | 0.719 | 0.7023 | 0.7207 | 0.7411 | 0.1836 |
| Suv | 0.744 | 0.7973 | 0.7744 | 0.7893 | 0.7716 | 0.6956 | 0.1601 |
| Sylvester | 0.7125 | 0.6861 | 0.7 | 0.6968 | 0.1434 | 0.2789 | 0.2842 |
| Tiger1 | 0.6224 | 0.6396 | 0.6679 | 0.6355 | 0.4128 | 0.4374 | 0.0549 |
| Tiger2 | 0.4618 | 0.6278 | 0.6971 | 0.6179 | 0.6907 | 0.0359 | 0.016 |
| Toy | 0.6755 | 0.6577 | 0.6505 | 0.6394 | 0.6424 | 0.6394 | 0.631 |
| Trans | 0.5518 | 0.619 | 0.6229 | 0.6194 | 0.2508 | 0.1306 | 0.134 |
| Trellis | 0.7806 | 0.6886 | 0.7653 | 0.6632 | 0.6988 | 0.6954 | 0.226 |
| Twinnings | 0.5667 | 0.7025 | 0.6562 | 0.6647 | 0.6228 | 0.2355 | 0.0073 |
| Vase | 0.55 | 0.4609 | 0.5083 | 0.5198 | 0.4902 | 0.0838 | 0.0931 |
| Walking | 0.7405 | 0.6504 | 0.7135 | 0.6823 | 0.6394 | 0.7067 | 0.7094 |
| Walking2 | 0.7951 | 0.7848 | 0.7581 | 0.7666 | 0.7568 | 0.783 | 0.7836 |
| Woman | 0.7512 | 0.7577 | 0.7398 | 0.7542 | 0.7467 | 0.0019 | 0.0018 |
| Average | 0.6621 | 0.6522 | 0.6416 | 0.6328 | 0.5950 | 0.4539 | 0.3165 | | 0 |
| Communities | Individuals |
| --- | --- |
| n1 | ltol16 |
| n2 | l,ltol1812 |
| n3 | l,ltol11317 |
| n4 | l,ltol11822 | | | n5 | l,ltol12327 |
| --- | --- |
| n6 | l,ltol22831 |
| n7 | l,ltol33235 |
| n8 | l,ltol33639 |
| n9 | l,ltol44043 |
| n10 | l,l,ltol474446 |
| n11 | l,l,ltol574750 |
| n12 | l,ltol65154 | | 1 |
| Communities | Individuals |
| --- | --- |
| n1 | ltol16 |
| n2 | l,ltol1812 |
| n3 | l,ltol11317 |
| n4 | l,ltol11822 | | | Tiger2 | 0.4618 | 0.6278 | 0.6971 | 0.6179 | 0.6907 | 0.0359 | 0.016 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Toy | 0.6755 | 0.6577 | 0.6505 | 0.6394 | 0.6424 | 0.6394 | 0.631 |
| Trans | 0.5518 | 0.619 | 0.6229 | 0.6194 | 0.2508 | 0.1306 | 0.134 |
| Trellis | 0.7806 | 0.6886 | 0.7653 | 0.6632 | 0.6988 | 0.6954 | 0.226 |
| Twinnings | 0.5667 | 0.7025 | 0.6562 | 0.6647 | 0.6228 | 0.2355 | 0.0073 |
| Vase | 0.55 | 0.4609 | 0.5083 | 0.5198 | 0.4902 | 0.0838 | 0.0931 |
| Walking | 0.7405 | 0.6504 | 0.7135 | 0.6823 | 0.6394 | 0.7067 | 0.7094 |
| Walking2 | 0.7951 | 0.7848 | 0.7581 | 0.7666 | 0.7568 | 0.783 | 0.7836 |
| Woman | 0.7512 | 0.7577 | 0.7398 | 0.7542 | 0.7467 | 0.0019 | 0.0018 |
| Average | 0.6621 | 0.6522 | 0.6416 | 0.6328 | 0.5950 | 0.4539 | 0.3165 | | 0 |
| | EnhancingCore | TumorCore | WholeTumor |
| --- | --- | --- | --- |
| Unetaxialslices | 73.9 | 78.1 | 86.5 | | | 2Dmodel1axialslices | 73.6 | 79.4 | 86.6 |
| --- | --- | --- | --- |
| Standard3Dmodel(without2Dfeatures) | 73.7 | 77.0 | 85.7 |
| 2D-3DmodelA,featuresfrom2Dmodel1 | 77.4 | 80.9 | 87.3 | | 1 |
| | EnhancingCore | TumorCore | WholeTumor |
| --- | --- | --- | --- |
| Unetaxialslices | 73.9 | 78.1 | 86.5 | | | | EC | TC | WT |
| --- | --- | --- | --- |
| Unetaxialslices | 71.4 | 76.6 | 87.7 |
| 2Dmodel1axialslices | 71.1 | 78.4 | 88.6 |
| 2Dmodel2axialslices | 68.0 | 78.3 | 88.1 |
| Standard3Dmodel(without2Dfeatures) | 68.7 | 74.2 | 85.4 |
| *2D-3DmodelA,featuresfrom2Dmodel1 | 76.7 | 79.5 | 89.3 |
| *2D-3DmodelB,featuresfrom2Dmodel1 | 76.6 | 79.1 | 89.1 |
| *2D-3DmodelC,featuresfrom2Dmodel1 | 76.9 | 78.3 | 89.4 |
| *2D-3DmodelA,featuresfrom2Dmodel2 | 73.4 | 79.5 | 89.7 |
| *2D-3DmodelB,featuresfrom2Dmodel2 | 74.1 | 79.4 | 89.5 |
| *2D-3DmodelC,featuresfrom2Dmodel2 | 74.3 | 79.4 | 89.6 |
| Finalsegmentation:ensemblingofmodels* | 77.2 | 80.8 | 90.0 | | 0 |
| | EnhancingCore | TumorCore | WholeTumor |
| --- | --- | --- | --- |
| Unetaxialslices | 73.9 | 78.1 | 86.5 | | | 2Dmodel1axialslices | 73.6 | 79.4 | 86.6 |
| --- | --- | --- | --- |
| Standard3Dmodel(without2Dfeatures) | 73.7 | 77.0 | 85.7 |
| 2D-3DmodelA,featuresfrom2Dmodel1 | 77.4 | 80.9 | 87.3 | | 1 |
| | EnhancingCore | TumorCore | WholeTumor |
| --- | --- | --- | --- |
| Unetaxialslices | 73.9 | 78.1 | 86.5 | | | Standard3Dmodel(without2Dfeatures) | 68.7 | 74.2 | 85.4 |
| --- | --- | --- | --- |
| *2D-3DmodelA,featuresfrom2Dmodel1 | 76.7 | 79.5 | 89.3 |
| *2D-3DmodelB,featuresfrom2Dmodel1 | 76.6 | 79.1 | 89.1 |
| *2D-3DmodelC,featuresfrom2Dmodel1 | 76.9 | 78.3 | 89.4 |
| *2D-3DmodelA,featuresfrom2Dmodel2 | 73.4 | 79.5 | 89.7 |
| *2D-3DmodelB,featuresfrom2Dmodel2 | 74.1 | 79.4 | 89.5 |
| *2D-3DmodelC,featuresfrom2Dmodel2 | 74.3 | 79.4 | 89.6 |
| Finalsegmentation:ensemblingofmodels* | 77.2 | 80.8 | 90.0 | | 0 |
| Process | Training | Testing |
| --- | --- | --- |
| Pre-processing | - | 0.58863 |
| LBPfeatureextraction | - | 0.00857 |
| CNNfeatureextraction | - | 0.22523 | | | Two-streamCNN | 3168.016 | 0.01075 |
| --- | --- | --- |
| SVM(genderclassification) | 1.0842 | 0.000007 |
| SVM(biometricidentification) | 114.5 | 0.00281 | | 1 |
| Process | Training | Testing |
| --- | --- | --- |
| Pre-processing | - | 0.58863 |
| LBPfeatureextraction | - | 0.00857 |
| CNNfeatureextraction | - | 0.22523 | | | Network | Precision | Recall | F1-Score |
| --- | --- | --- | --- |
| AlexNet | 0.28 | 0.67 | 0.40 |
| RAN-CNN-FC6-3L | 0.77 | 0.82 | 0.79 |
| RAN-CNN-FC6-5L | 0.82 | 0.81 | 0.81 |
| RAN-CNN-FC7-5L | 0.79 | 0.81 | 0.80 |
| RAN-CNN-FC6-5L-D | 0.81 | 0.83 | 0.82 |
| RAN-LSTM-1L | 0.74 | 0.82 | 0.78 |
| RAN-LSTM-2L | 0.85 | 0.81 | 0.83 | | 0 |
| Process | Training | Testing |
| --- | --- | --- |
| Pre-processing | - | 0.58863 |
| LBPfeatureextraction | - | 0.00857 |
| CNNfeatureextraction | - | 0.22523 | | | Two-streamCNN | 3168.016 | 0.01075 |
| --- | --- | --- |
| SVM(genderclassification) | 1.0842 | 0.000007 |
| SVM(biometricidentification) | 114.5 | 0.00281 | | 1 |
| Process | Training | Testing |
| --- | --- | --- |
| Pre-processing | - | 0.58863 |
| LBPfeatureextraction | - | 0.00857 |
| CNNfeatureextraction | - | 0.22523 | | | RAN-CNN-FC7-5L | 0.79 | 0.81 | 0.80 |
| --- | --- | --- | --- |
| RAN-CNN-FC6-5L-D | 0.81 | 0.83 | 0.82 |
| RAN-LSTM-1L | 0.74 | 0.82 | 0.78 |
| RAN-LSTM-2L | 0.85 | 0.81 | 0.83 | | 0 |
| Collection | ObjectID | Fields |
| --- | --- | --- |
| Hubs | | |
| HubTitle | Titleid | |
| HubDate | Dateid | |
| HubLocation | Locationid | |
| HubCategory | Categoryid | | | | Link | | |
| --- | --- | --- |
| LinkDocument | Documentid | |
| Satellites | | |
| SatTitle | Titleid | Title,Authors,Description,Keywords |
| SatDate | Dateid | Epoch,DepositDate,UpdateDate |
| SatLocation | Locationid | Address,AdditionalInfo,Reference |
| SatIRHIS | Categoryid | CodePhoto,Provenance |
| SatVoixDuNord | Categoryid | Language,Note |
| SatInventory | Categoryid | Property,Link |
| SatBook | Categoryid | Rights,Publisher | | 1 |
| Collection | ObjectID | Fields |
| --- | --- | --- |
| Hubs | | |
| HubTitle | Titleid | |
| HubDate | Dateid | |
| HubLocation | Locationid | |
| HubCategory | Categoryid | | | | query | category | length | keywords |
| --- | --- | --- | --- |
| Q1 | 1 | 2 | imageuri |
| Q2 | 3 | imageurirelease | |
| Q3 | 4 | imageurireleaseidentifiers | |
| Q4 | 2 | 2 | vinylelectronic |
| Q5 | 3 | vinylelectronic12” | |
| Q6 | 4 | vinylelectronic12”uk | |
| Q7 | 3 | 2 | descriptionrpm |
| Q8 | 3 | descriptionrpm45 | |
| Q9 | 4 | descriptionrpm457” | | | 0 |
| Collection | ObjectID | Fields |
| --- | --- | --- |
| Hubs | | |
| HubTitle | Titleid | |
| HubDate | Dateid | |
| HubLocation | Locationid | |
| HubCategory | Categoryid | |
| Link | | |
| LinkDocument | Documentid | |
| Satellites | | |
| SatTitle | Titleid | Title,Authors,Description,Keywords |
| SatDate | Dateid | Epoch,DepositDate,UpdateDate |
| SatLocation | Locationid | Address,AdditionalInfo,Reference | | | SatIRHIS | Categoryid | CodePhoto,Provenance |
| --- | --- | --- |
| SatVoixDuNord | Categoryid | Language,Note |
| SatInventory | Categoryid | Property,Link |
| SatBook | Categoryid | Rights,Publisher | | 1 |
| Collection | ObjectID | Fields |
| --- | --- | --- |
| Hubs | | |
| HubTitle | Titleid | |
| HubDate | Dateid | |
| HubLocation | Locationid | |
| HubCategory | Categoryid | |
| Link | | |
| LinkDocument | Documentid | |
| Satellites | | |
| SatTitle | Titleid | Title,Authors,Description,Keywords |
| SatDate | Dateid | Epoch,DepositDate,UpdateDate |
| SatLocation | Locationid | Address,AdditionalInfo,Reference | | | Q7 | 3 | 2 | descriptionrpm |
| --- | --- | --- | --- |
| Q8 | 3 | descriptionrpm45 | |
| Q9 | 4 | descriptionrpm457” | | | 0 |
| ID | Transaction |
| --- | --- |
| 1 | A(0.7);B(1.0);C(0.2) |
| 2 | A(0.9);D(0.5);E(0.4);F(0.8) |
| 3 | B(0.3);D(1.0);G(0.7) | | | 4 | A(0.1);B(0.6);C(0.7);E(0.2);G(0.4) |
| --- | --- |
| 5 | C(0.5);D(0.2);E(0.8) |
| 6 | B(0.6);C(0.3);E(1.0);F(0.4) | | 1 |
| ID | Transaction |
| --- | --- |
| 1 | A(0.7);B(1.0);C(0.2) |
| 2 | A(0.9);D(0.5);E(0.4);F(0.8) |
| 3 | B(0.3);D(1.0);G(0.7) | | | (a) | (b) | (c) | (d) | (e) | (f) | (g) | (h) | (i) |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 5.05 | 6.15 | 4.61 | 4.10 | 5.27 | 2.51 | 4.51 | 4.50 | 2.81 |
| 6.01 | 2.32 | 2.53 | – | 2.26 | 2.46 | 2.93 | 2.04 | 1.62 |
| 7.09 | 2.54 | 2.49 | – | 1.93 | 2.61 | 2.36 | 1.89 | 1.57 |
| 10.84 | 6.60 | 11.79 | – | 8.91 | 11.71 | 7.93 | 9.47 | 3.50 | | 0 |
| ID | Transaction |
| --- | --- |
| 1 | A(0.7);B(1.0);C(0.2) | | | 2 | A(0.9);D(0.5);E(0.4);F(0.8) |
| --- | --- |
| 3 | B(0.3);D(1.0);G(0.7) |
| 4 | A(0.1);B(0.6);C(0.7);E(0.2);G(0.4) |
| 5 | C(0.5);D(0.2);E(0.8) |
| 6 | B(0.6);C(0.3);E(1.0);F(0.4) | | 1 |
| ID | Transaction |
| --- | --- |
| 1 | A(0.7);B(1.0);C(0.2) | | | 7.09 | 2.54 | 2.49 | – | 1.93 | 2.61 | 2.36 | 1.89 | 1.57 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 10.84 | 6.60 | 11.79 | – | 8.91 | 11.71 | 7.93 | 9.47 | 3.50 | | 0 |
| compression<br>ratio |
| --- |
| 0.76 |
| 0.43 | | | 0.26 |
| --- |
| 0.18 |
| 0.14 |
| 0.12 | | 1 |
| compression<br>ratio |
| --- |
| 0.76 |
| 0.43 | | | h | Compression | Distortion |
| --- | --- | --- |
| 1 | 49 | 0.135196 |
| 2 | 24.5 | 0.124725 |
| 3 | 16.33333333 | 0.0947032 |
| 5 | 9.8 | 0.0354035 |
| 7 | 7 | 0.031808 |
| 20 | 2.45 | 0.0149272 | | 0 |
| compression<br>ratio |
| --- |
| 0.76 | | | 0.43 |
| --- |
| 0.26 |
| 0.18 |
| 0.14 |
| 0.12 | | 1 |
| compression<br>ratio |
| --- |
| 0.76 | | | 3 | 16.33333333 | 0.0947032 |
| --- | --- | --- |
| 5 | 9.8 | 0.0354035 |
| 7 | 7 | 0.031808 |
| 20 | 2.45 | 0.0149272 | | 0 |
| Method | CIFAR-10(MAP)<br>16bits32bits64bits96bits128bits |
| --- | --- |
| IMH | 0.19750.20350.20870.21720.2233 |
| SDH | 0.17150.20220.21360.22140.2396 |
| COSDISH | 0.17210.20360.21640.22700.2424 |
| ZSH | 0.19210.21680.22230.24300.2663 |
| One-Stage | 0.21280.24620.25260.26320.2512 | | | NDA-ZSH | 0.22900.20180.19540.19270.1875 |
| --- | --- |
| DA-ZSH | 0.41260.43130.45800.53250.5529 |
| ship-truck<br>dog-truck<br>auto-deer<br>cat-dog | 0.66440.67680.68480.69080.6828<br>0.62630.63700.63450.63950.6400<br>0.62120.62660.63590.63470.6405<br>0.30930.32210.31180.31020.3140 | | 1 |
| Method | CIFAR-10(MAP)<br>16bits32bits64bits96bits128bits |
| --- | --- |
| IMH | 0.19750.20350.20870.21720.2233 |
| SDH | 0.17150.20220.21360.22140.2396 |
| COSDISH | 0.17210.20360.21640.22700.2424 |
| ZSH | 0.19210.21680.22230.24300.2663 |
| One-Stage | 0.21280.24620.25260.26320.2512 | | | Method | AwA(MAP)<br>16bits32bits64bits96bits128bits |
| --- | --- |
| IMH | 0.10820.10920.11020.11020.1103 |
| SDH | 0.09480.07430.11270.12660.1135 |
| COSDISH | 0.07790.10450.11840.11150.1035 |
| ZSH | 0.10870.10510.12190.11710.1208 |
| NDA-ZSH | 0.08340.10670.11480.12780.1281 |
| DA-ZSH | 0.10300.12610.13750.14320.1432 |
| TZSH | 0.40100.48030.53270.54280.5442 | | 0 |
| Method | CIFAR-10(MAP)<br>16bits32bits64bits96bits128bits |
| --- | --- |
| IMH | 0.19750.20350.20870.21720.2233 |
| SDH | 0.17150.20220.21360.22140.2396 |
| COSDISH | 0.17210.20360.21640.22700.2424 | | | ZSH | 0.19210.21680.22230.24300.2663 |
| --- | --- |
| One-Stage | 0.21280.24620.25260.26320.2512 |
| NDA-ZSH | 0.22900.20180.19540.19270.1875 |
| DA-ZSH | 0.41260.43130.45800.53250.5529 |
| ship-truck<br>dog-truck<br>auto-deer<br>cat-dog | 0.66440.67680.68480.69080.6828<br>0.62630.63700.63450.63950.6400<br>0.62120.62660.63590.63470.6405<br>0.30930.32210.31180.31020.3140 | | 1 |
| Method | CIFAR-10(MAP)<br>16bits32bits64bits96bits128bits |
| --- | --- |
| IMH | 0.19750.20350.20870.21720.2233 |
| SDH | 0.17150.20220.21360.22140.2396 |
| COSDISH | 0.17210.20360.21640.22700.2424 | | | ZSH | 0.10870.10510.12190.11710.1208 |
| --- | --- |
| NDA-ZSH | 0.08340.10670.11480.12780.1281 |
| DA-ZSH | 0.10300.12610.13750.14320.1432 |
| TZSH | 0.40100.48030.53270.54280.5442 | | 0 |
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