premise string | hypothesis string | label int64 |
|---|---|---|
| LayerType | #Channel | Kernelsize | Pad/Stride | #Group |
| --- | --- | --- | --- | --- |
| conv1base | 64 | 5×5 | 1/2 | 1 |
| st/sep-module1svd1base | 32 | 1×1 | 0/1 | 1 |
| st/sep-module1slice11x10base | 32 | 1×1 | 0/1 | 4 |
| st/sep-module1slice13x30base | 32 | 3×3 | 1/1 | 4 |
| st/sep-module1slice21x10base | 16 | 1×1 | 0/1 | 4 |
| st/sep-module1slice23x30base | 16 | 3×3 | 1/1 | 4 |
| st/sep-module1svd2base | 64 | 1×1 | 0/1 | 1 |
| conv2base | 128 | 3×3 | 1/2 | 1 |
| st/sep-module2svd1base | 64 | 1×1 | 0/1 | 1 |
| st/sep-module2slice11x10base | 64 | 1×1 | 0/1 | 4 |
| st/sep-module2slice13x30base | 64 | 3×3 | 1/1 | 4 |
| st/sep-module2slice21x10base | 32 | 1×1 | 0/1 | 4 |
| st/sep-module2slice23x30base | 32 | 3×3 | 1/1 | 4 | | | st/sep-module2svd2base | 128 | 1×1 | 0/1 | 1 |
| --- | --- | --- | --- | --- |
| conv3base | 256 | 3×3 | 1/2 | 4 |
| st/sep-module3svd1base | 128 | 1×1 | 0/1 | 1 |
| st/sep-module3slice11x10base | 128 | 1×1 | 0/1 | 4 |
| st/sep-module3slice13x30base | 128 | 3×3 | 1/1 | 4 |
| st/sep-module3slice21x10base | 64 | 1×1 | 0/1 | 4 |
| st/sep-module3slice23x30base | 64 | 3×3 | 1/1 | 4 |
| st/sep-module3svd2base | 256 | 1×1 | 0/1 | 1 |
| st/sep-module4svd1base | 128 | 1×1 | 0/1 | 1 |
| st/sep-module4slice11x10base | 128 | 1×1 | 0/1 | 4 |
| st/sep-module4slice13x30base | 128 | 3×3 | 1/1 | 4 |
| st/sep-module4slice21x10base | 64 | 1×1 | 0/1 | 4 |
| st/sep-module4slice23x30base | 64 | 3×3 | 1/1 | 4 |
| st/sep-module4svd2base | 256 | 1×1 | 0/1 | 1 |
| conv4base | 256 | 3×3 | 1/2 | 4 |
| st/sep-module5svd1base | 128 | 1×1 | 0/1 | 1 |
| st/sep-module5slice11x10base | 128 | 1×1 | 0/1 | 4 |
| st/sep-module5slice13x30base | 128 | 3×3 | 1/1 | 4 |
| st/sep-module5slice21x10base | 64 | 1×1 | 0/1 | 4 |
| st/sep-module5slice23x30base | 64 | 3×3 | 1/1 | 4 |
| st/sep-module5svd2base | 256 | 1×1 | 0/1 | 1 |
| st/sep-module6svd1base | 128 | 1×1 | 0/1 | 1 |
| st/sep-module6slice11x10base | 128 | 1×1 | 0/1 | 4 |
| st/sep-module6slice13x30base | 128 | 3×3 | 1/1 | 4 |
| st/sep-module6slice21x10base | 64 | 1×1 | 0/1 | 4 |
| st/sep-module6slice23x30base | 64 | 3×3 | 1/1 | 4 |
| st/sep-module6svd2base | 256 | 1×1 | 0/1 | 1 |
| conv5base | 512 | 3×3 | 1/2 | 16 | | 1 |
| LayerType | #Channel | Kernelsize | Pad/Stride | #Group |
| --- | --- | --- | --- | --- |
| conv1base | 64 | 5×5 | 1/2 | 1 |
| st/sep-module1svd1base | 32 | 1×1 | 0/1 | 1 |
| st/sep-module1slice11x10base | 32 | 1×1 | 0/1 | 4 |
| st/sep-module1slice13x30base | 32 | 3×3 | 1/1 | 4 |
| st/sep-module1slice21x10base | 16 | 1×1 | 0/1 | 4 |
| st/sep-module1slice23x30base | 16 | 3×3 | 1/1 | 4 |
| st/sep-module1svd2base | 64 | 1×1 | 0/1 | 1 |
| conv2base | 128 | 3×3 | 1/2 | 1 |
| st/sep-module2svd1base | 64 | 1×1 | 0/1 | 1 |
| st/sep-module2slice11x10base | 64 | 1×1 | 0/1 | 4 |
| st/sep-module2slice13x30base | 64 | 3×3 | 1/1 | 4 |
| st/sep-module2slice21x10base | 32 | 1×1 | 0/1 | 4 |
| st/sep-module2slice23x30base | 32 | 3×3 | 1/1 | 4 | | | Layer | Input | FilterSize | Stride | NumberofFilters | Activation | Output |
| --- | --- | --- | --- | --- | --- | --- |
| Conv1 | 240*240 | 3*3 | 1 | 64 | ReLU | 240*240*64 |
| Conv2 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |
| Conv3 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |
| Conv4 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |
| Conv5 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |
| Conv6 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |
| Conv7 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |
| Conv8 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |
| Conv9 | 240*240*32 | 3*3 | 1 | 1 | Linear | 240*240 |
| DataFidelity | 240*240 | N/A | N/A | N/A | N/A | 240*240 | | 0 |
| LayerType | #Channel | Kernelsize | Pad/Stride | #Group |
| --- | --- | --- | --- | --- |
| conv1base | 64 | 5×5 | 1/2 | 1 |
| st/sep-module1svd1base | 32 | 1×1 | 0/1 | 1 |
| st/sep-module1slice11x10base | 32 | 1×1 | 0/1 | 4 |
| st/sep-module1slice13x30base | 32 | 3×3 | 1/1 | 4 |
| st/sep-module1slice21x10base | 16 | 1×1 | 0/1 | 4 |
| st/sep-module1slice23x30base | 16 | 3×3 | 1/1 | 4 |
| st/sep-module1svd2base | 64 | 1×1 | 0/1 | 1 |
| conv2base | 128 | 3×3 | 1/2 | 1 |
| st/sep-module2svd1base | 64 | 1×1 | 0/1 | 1 |
| st/sep-module2slice11x10base | 64 | 1×1 | 0/1 | 4 |
| st/sep-module2slice13x30base | 64 | 3×3 | 1/1 | 4 |
| st/sep-module2slice21x10base | 32 | 1×1 | 0/1 | 4 |
| st/sep-module2slice23x30base | 32 | 3×3 | 1/1 | 4 |
| st/sep-module2svd2base | 128 | 1×1 | 0/1 | 1 |
| conv3base | 256 | 3×3 | 1/2 | 4 |
| st/sep-module3svd1base | 128 | 1×1 | 0/1 | 1 |
| st/sep-module3slice11x10base | 128 | 1×1 | 0/1 | 4 |
| st/sep-module3slice13x30base | 128 | 3×3 | 1/1 | 4 |
| st/sep-module3slice21x10base | 64 | 1×1 | 0/1 | 4 |
| st/sep-module3slice23x30base | 64 | 3×3 | 1/1 | 4 |
| st/sep-module3svd2base | 256 | 1×1 | 0/1 | 1 |
| st/sep-module4svd1base | 128 | 1×1 | 0/1 | 1 |
| st/sep-module4slice11x10base | 128 | 1×1 | 0/1 | 4 |
| st/sep-module4slice13x30base | 128 | 3×3 | 1/1 | 4 |
| st/sep-module4slice21x10base | 64 | 1×1 | 0/1 | 4 |
| st/sep-module4slice23x30base | 64 | 3×3 | 1/1 | 4 |
| st/sep-module4svd2base | 256 | 1×1 | 0/1 | 1 |
| conv4base | 256 | 3×3 | 1/2 | 4 |
| st/sep-module5svd1base | 128 | 1×1 | 0/1 | 1 |
| st/sep-module5slice11x10base | 128 | 1×1 | 0/1 | 4 |
| st/sep-module5slice13x30base | 128 | 3×3 | 1/1 | 4 |
| st/sep-module5slice21x10base | 64 | 1×1 | 0/1 | 4 |
| st/sep-module5slice23x30base | 64 | 3×3 | 1/1 | 4 |
| st/sep-module5svd2base | 256 | 1×1 | 0/1 | 1 | | | st/sep-module6svd1base | 128 | 1×1 | 0/1 | 1 |
| --- | --- | --- | --- | --- |
| st/sep-module6slice11x10base | 128 | 1×1 | 0/1 | 4 |
| st/sep-module6slice13x30base | 128 | 3×3 | 1/1 | 4 |
| st/sep-module6slice21x10base | 64 | 1×1 | 0/1 | 4 |
| st/sep-module6slice23x30base | 64 | 3×3 | 1/1 | 4 |
| st/sep-module6svd2base | 256 | 1×1 | 0/1 | 1 |
| conv5base | 512 | 3×3 | 1/2 | 16 | | 1 |
| LayerType | #Channel | Kernelsize | Pad/Stride | #Group |
| --- | --- | --- | --- | --- |
| conv1base | 64 | 5×5 | 1/2 | 1 |
| st/sep-module1svd1base | 32 | 1×1 | 0/1 | 1 |
| st/sep-module1slice11x10base | 32 | 1×1 | 0/1 | 4 |
| st/sep-module1slice13x30base | 32 | 3×3 | 1/1 | 4 |
| st/sep-module1slice21x10base | 16 | 1×1 | 0/1 | 4 |
| st/sep-module1slice23x30base | 16 | 3×3 | 1/1 | 4 |
| st/sep-module1svd2base | 64 | 1×1 | 0/1 | 1 |
| conv2base | 128 | 3×3 | 1/2 | 1 |
| st/sep-module2svd1base | 64 | 1×1 | 0/1 | 1 |
| st/sep-module2slice11x10base | 64 | 1×1 | 0/1 | 4 |
| st/sep-module2slice13x30base | 64 | 3×3 | 1/1 | 4 |
| st/sep-module2slice21x10base | 32 | 1×1 | 0/1 | 4 |
| st/sep-module2slice23x30base | 32 | 3×3 | 1/1 | 4 |
| st/sep-module2svd2base | 128 | 1×1 | 0/1 | 1 |
| conv3base | 256 | 3×3 | 1/2 | 4 |
| st/sep-module3svd1base | 128 | 1×1 | 0/1 | 1 |
| st/sep-module3slice11x10base | 128 | 1×1 | 0/1 | 4 |
| st/sep-module3slice13x30base | 128 | 3×3 | 1/1 | 4 |
| st/sep-module3slice21x10base | 64 | 1×1 | 0/1 | 4 |
| st/sep-module3slice23x30base | 64 | 3×3 | 1/1 | 4 |
| st/sep-module3svd2base | 256 | 1×1 | 0/1 | 1 |
| st/sep-module4svd1base | 128 | 1×1 | 0/1 | 1 |
| st/sep-module4slice11x10base | 128 | 1×1 | 0/1 | 4 |
| st/sep-module4slice13x30base | 128 | 3×3 | 1/1 | 4 |
| st/sep-module4slice21x10base | 64 | 1×1 | 0/1 | 4 |
| st/sep-module4slice23x30base | 64 | 3×3 | 1/1 | 4 |
| st/sep-module4svd2base | 256 | 1×1 | 0/1 | 1 |
| conv4base | 256 | 3×3 | 1/2 | 4 |
| st/sep-module5svd1base | 128 | 1×1 | 0/1 | 1 |
| st/sep-module5slice11x10base | 128 | 1×1 | 0/1 | 4 |
| st/sep-module5slice13x30base | 128 | 3×3 | 1/1 | 4 |
| st/sep-module5slice21x10base | 64 | 1×1 | 0/1 | 4 |
| st/sep-module5slice23x30base | 64 | 3×3 | 1/1 | 4 |
| st/sep-module5svd2base | 256 | 1×1 | 0/1 | 1 | | | Conv6 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |
| --- | --- | --- | --- | --- | --- | --- |
| Conv7 | 240*240*32 | 3*3 | 1 | 64 | ReLU | 240*240*64 |
| Conv8 | 240*240*64 | 1*1 | 1 | 32 | ReLU | 240*240*32 |
| Conv9 | 240*240*32 | 3*3 | 1 | 1 | Linear | 240*240 |
| DataFidelity | 240*240 | N/A | N/A | N/A | N/A | 240*240 | | 0 |
| Method | Rain12 | Rain12S |
| --- | --- | --- |
| Metric | PSNRSSIMVIFFSIM | PSNRSSIMVIFFSIM |
| ID | 27.210.8000.2660.765 | 25.070.7730.2290.757 |
| DSC | 30.020.8930.5480.918 | 28.370.8600.4630.882 | | | LP | 32.020.9250.5240.936 | 29.410.8950.4300.901 |
| --- | --- | --- |
| DetailsNet | 33.430.9490.6080.955 | 31.010.9310.5070.934 |
| JORDER | 35.860.9560.6270.963 | 29.690.9130.4720.922 |
| JORDER-R | 36.020.9340.5160.937 | 28.250.8890.3960.899 |
| Ours | 36.230.9650.6360.968 | 32.820.9490.5400.952 | | 1 |
| Method | Rain12 | Rain12S |
| --- | --- | --- |
| Metric | PSNRSSIMVIFFSIM | PSNRSSIMVIFFSIM |
| ID | 27.210.8000.2660.765 | 25.070.7730.2290.757 |
| DSC | 30.020.8930.5480.918 | 28.370.8600.4630.882 | | | | Rainyimages | GMM | SRCNN | DDN | JORDER | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR | SSIM | PSNR |
| Rain100H | 0.38 | 13.56 | 0.43 | 15.05 | 0.70 | 22.84 | 0.76 | 21.92 | 0.83 | 26.54 |
| Rain100L | 0.84 | 26.90 | 0.86 | 28.65 | 0.91 | 29.39 | 0.93 | 32.16 | 0.97 | 36.63 |
| Rain12 | 0.86 | 30.14 | 0.91 | 32.02 | 0.92 | 31.90 | 0.94 | 31.76 | 0.95 | 33.92 |
| Parameters# | - | - | 20,099 | 57,369 | 369,792 | | | | | | | 0 |
| Method | Rain12 | Rain12S |
| --- | --- | --- |
| Metric | PSNRSSIMVIFFSIM | PSNRSSIMVIFFSIM |
| ID | 27.210.8000.2660.765 | 25.070.7730.2290.757 |
| DSC | 30.020.8930.5480.918 | 28.370.8600.4630.882 | | | LP | 32.020.9250.5240.936 | 29.410.8950.4300.901 |
| --- | --- | --- |
| DetailsNet | 33.430.9490.6080.955 | 31.010.9310.5070.934 |
| JORDER | 35.860.9560.6270.963 | 29.690.9130.4720.922 |
| JORDER-R | 36.020.9340.5160.937 | 28.250.8890.3960.899 |
| Ours | 36.230.9650.6360.968 | 32.820.9490.5400.952 | | 1 |
| Method | Rain12 | Rain12S |
| --- | --- | --- |
| Metric | PSNRSSIMVIFFSIM | PSNRSSIMVIFFSIM |
| ID | 27.210.8000.2660.765 | 25.070.7730.2290.757 |
| DSC | 30.020.8930.5480.918 | 28.370.8600.4630.882 | | | Rain100L | 0.84 | 26.90 | 0.86 | 28.65 | 0.91 | 29.39 | 0.93 | 32.16 | 0.97 | 36.63 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Rain12 | 0.86 | 30.14 | 0.91 | 32.02 | 0.92 | 31.90 | 0.94 | 31.76 | 0.95 | 33.92 |
| Parameters# | - | - | 20,099 | 57,369 | 369,792 | | | | | | | 0 |
| | | |
| --- | --- | --- |
| | NCS | Joule | | | NetworkName | P(mW) | E(mJ) | T(ms) | P(mW) | E(mJ) | T(ms) | P(mW) |
| --- | --- | --- | --- | --- | --- | --- | --- |
| nViso | 1514 | 7 | 4.5 | 4970 | 31 | 6 | 730 |
| HappyNet | 1692 | 413 | 244 | 5143 | 2823 | 549 | 699 |
| Dexpression | 1697 | 80 | 47 | 4910 | 832 | 170 | 679 |
| EmotiWrgb | 1682 | 410 | 244 | 5146 | 2834 | 550 | 714 | | 1 |
| | | |
| --- | --- | --- |
| | NCS | Joule | | | LPC-EGEE | PIK-IPLEX | SHARCNET-Whale | RICC | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Avg | St.dev. | Avg | St.dev. | Avg | St.dev. | Avg | St.dev. | |
| | 4511 | 6257 | 242 | 1420 | 404 | 1221 | 10850 | 13773 |
| (N=15) | 562 | 1670 | 1.3 | 7 | 26 | 158 | 771 | 1479 |
| | 410 | 1083 | 0.2 | 1.4 | 60 | 204 | 1808 | 3397 |
| | 575 | 1404 | 2.3 | 12 | 94 | 307 | 2746 | 4070 |
| | 888 | 2101 | 1.2 | 5 | 120 | 344 | 4963 | 6080 |
| | 1082 | 2091 | 2.2 | 11 | 180 | 805 | 5387 | 9083 | | 0 |
| | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | NCS | Joule | | | | | |
| NetworkName | P(mW) | E(mJ) | T(ms) | P(mW) | E(mJ) | T(ms) | P(mW) |
| nViso | 1514 | 7 | 4.5 | 4970 | 31 | 6 | 730 | | | HappyNet | 1692 | 413 | 244 | 5143 | 2823 | 549 | 699 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Dexpression | 1697 | 80 | 47 | 4910 | 832 | 170 | 679 |
| EmotiWrgb | 1682 | 410 | 244 | 5146 | 2834 | 550 | 714 | | 1 |
| | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | NCS | Joule | | | | | |
| NetworkName | P(mW) | E(mJ) | T(ms) | P(mW) | E(mJ) | T(ms) | P(mW) |
| nViso | 1514 | 7 | 4.5 | 4970 | 31 | 6 | 730 | | | | 575 | 1404 | 2.3 | 12 | 94 | 307 | 2746 | 4070 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | 888 | 2101 | 1.2 | 5 | 120 | 344 | 4963 | 6080 |
| | 1082 | 2091 | 2.2 | 11 | 180 | 805 | 5387 | 9083 | | 0 |
| MAP@Top500 | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |
| 36.19 | 37.47 | 37.53 | 39.83 | 40.50 | 41.52 | 35.04 | 36.10 | 36.12 | 38.10 | 38.82 |
| 41.16 | 41.91 | 42.76 | 43.67 | 44.07 | 44.30 | 39.73 | 40.30 | 40.88 | 41.60 | 41.86 |
| 42.21 | 43.12 | 43.89 | 44.50 | 45.86 | 46.42 | 40.84 | 41.65 | 42.33 | 42.82 | 44.02 |
| 44.08 | 45.31 | 46.00 | 47.30 | 48.17 | 48.06 | 42.45 | 43.54 | 43.94 | 45.00 | 45.79 |
| 40.04 | 41.54 | 42.09 | 42.48 | 43.07 | 43.97 | 38.67 | 39.70 | 40.08 | 40.33 | 40.79 |
| 57.07 | 58.13 | 59.94 | 61.61 | 63.05 | 64.49 | 55.03 | 55.90 | 57.73 | 58.96 | 60.15 |
| 53.70 | 58.12 | 61.35 | 63.25 | 64.90 | 65.59 | 52.31 | 56.47 | 58.97 | 60.29 | 61.94 | | | 56.26 | 57.98 | 59.48 | 61.27 | 62.57 | 63.94 | 54.32 | 55.44 | 56.52 | 57.92 | 58.95 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 57.12 | 62.67 | 65.15 | 67.80 | 70.11 | 70.93 | 55.31 | 60.20 | 62.52 | 64.93 | 67.13 | | 1 |
| MAP@Top500 | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |
| 36.19 | 37.47 | 37.53 | 39.83 | 40.50 | 41.52 | 35.04 | 36.10 | 36.12 | 38.10 | 38.82 |
| 41.16 | 41.91 | 42.76 | 43.67 | 44.07 | 44.30 | 39.73 | 40.30 | 40.88 | 41.60 | 41.86 |
| 42.21 | 43.12 | 43.89 | 44.50 | 45.86 | 46.42 | 40.84 | 41.65 | 42.33 | 42.82 | 44.02 |
| 44.08 | 45.31 | 46.00 | 47.30 | 48.17 | 48.06 | 42.45 | 43.54 | 43.94 | 45.00 | 45.79 |
| 40.04 | 41.54 | 42.09 | 42.48 | 43.07 | 43.97 | 38.67 | 39.70 | 40.08 | 40.33 | 40.79 |
| 57.07 | 58.13 | 59.94 | 61.61 | 63.05 | 64.49 | 55.03 | 55.90 | 57.73 | 58.96 | 60.15 |
| 53.70 | 58.12 | 61.35 | 63.25 | 64.90 | 65.59 | 52.31 | 56.47 | 58.97 | 60.29 | 61.94 | | | MAP@Top500 | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |
| 20.29 | 19.92 | 19.81 | 21.17 | 23.07 | 24.42 | 14.54 | 15.26 | 16.19 | 18.13 | 20.45 |
| 24.56 | 27.72 | 27.55 | 28.65 | 29.54 | 30.24 | 18.63 | 21.88 | 22.53 | 24.59 | 25.65 |
| 29.02 | 34.07 | 35.66 | 38.86 | 40.28 | 41.67 | 24.61 | 29.72 | 31.93 | 35.62 | 37.98 |
| 28.34 | 34.78 | 37.92 | 41.69 | 42.77 | 44.57 | 27.91 | 33.83 | 37.31 | 42.39 | 43.78 |
| 25.92 | 25.11 | 25.91 | 27.13 | 28.76 | 29.46 | 19.06 | 20.10 | 21.53 | 23.46 | 24.85 |
| 58.58 | 66.85 | 71.48 | 75.74 | 79.69 | 80.62 | 64.13 | 70.80 | 74.71 | 78.34 | 80.59 |
| 58.92 | 70.07 | 74.95 | 78.09 | 78.85 | 77.61 | 61.09 | 73.71 | 78.85 | 81.84 | 83.45 |
| 50.88 | 66.24 | 72.43 | 77.31 | 79.21 | 80.40 | 54.22 | 68.28 | 74.42 | 77.36 | 78.80 |
| 67.11 | 73.08 | 78.42 | 82.02 | 83.51 | 84.17 | 72.95 | 77.53 | 82.68 | 84.18 | 85.23 | | 0 |
| MAP@Top500 | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |
| 36.19 | 37.47 | 37.53 | 39.83 | 40.50 | 41.52 | 35.04 | 36.10 | 36.12 | 38.10 | 38.82 |
| 41.16 | 41.91 | 42.76 | 43.67 | 44.07 | 44.30 | 39.73 | 40.30 | 40.88 | 41.60 | 41.86 |
| 42.21 | 43.12 | 43.89 | 44.50 | 45.86 | 46.42 | 40.84 | 41.65 | 42.33 | 42.82 | 44.02 | | | 44.08 | 45.31 | 46.00 | 47.30 | 48.17 | 48.06 | 42.45 | 43.54 | 43.94 | 45.00 | 45.79 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 40.04 | 41.54 | 42.09 | 42.48 | 43.07 | 43.97 | 38.67 | 39.70 | 40.08 | 40.33 | 40.79 |
| 57.07 | 58.13 | 59.94 | 61.61 | 63.05 | 64.49 | 55.03 | 55.90 | 57.73 | 58.96 | 60.15 |
| 53.70 | 58.12 | 61.35 | 63.25 | 64.90 | 65.59 | 52.31 | 56.47 | 58.97 | 60.29 | 61.94 |
| 56.26 | 57.98 | 59.48 | 61.27 | 62.57 | 63.94 | 54.32 | 55.44 | 56.52 | 57.92 | 58.95 |
| 57.12 | 62.67 | 65.15 | 67.80 | 70.11 | 70.93 | 55.31 | 60.20 | 62.52 | 64.93 | 67.13 | | 1 |
| MAP@Top500 | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 8-bit | 12-bit | 16-bit | 24-bit | 36-bit | 48-bit | 8-bit | 12-bit | 16-bit | 24-bit | 36-bit |
| 36.19 | 37.47 | 37.53 | 39.83 | 40.50 | 41.52 | 35.04 | 36.10 | 36.12 | 38.10 | 38.82 |
| 41.16 | 41.91 | 42.76 | 43.67 | 44.07 | 44.30 | 39.73 | 40.30 | 40.88 | 41.60 | 41.86 |
| 42.21 | 43.12 | 43.89 | 44.50 | 45.86 | 46.42 | 40.84 | 41.65 | 42.33 | 42.82 | 44.02 | | | 28.34 | 34.78 | 37.92 | 41.69 | 42.77 | 44.57 | 27.91 | 33.83 | 37.31 | 42.39 | 43.78 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 25.92 | 25.11 | 25.91 | 27.13 | 28.76 | 29.46 | 19.06 | 20.10 | 21.53 | 23.46 | 24.85 |
| 58.58 | 66.85 | 71.48 | 75.74 | 79.69 | 80.62 | 64.13 | 70.80 | 74.71 | 78.34 | 80.59 |
| 58.92 | 70.07 | 74.95 | 78.09 | 78.85 | 77.61 | 61.09 | 73.71 | 78.85 | 81.84 | 83.45 |
| 50.88 | 66.24 | 72.43 | 77.31 | 79.21 | 80.40 | 54.22 | 68.28 | 74.42 | 77.36 | 78.80 |
| 67.11 | 73.08 | 78.42 | 82.02 | 83.51 | 84.17 | 72.95 | 77.53 | 82.68 | 84.18 | 85.23 | | 0 |
| cut | | | | |
| --- | --- | --- | --- | --- |
| P | R | F1 | P | R |
| 0.996 | 0.979 | 0.972 | 0.802 | 0.709 |
| 0.982 | 0.968 | 0.975 | 0.733 | 0.718 | | | 0.942 | 0.945 | 0.944 | 0.595 | 0.766 |
| --- | --- | --- | --- | --- |
| 0.975 | 0.816 | 0.945 | 0.768 | 0.578 |
| 0.972 | 0.976 | 0.974 | 0.869 | 0.719 |
| 0.978 | 0.968 | 0.973 | 0.826 | 0.731 |
| 0.971 | 0.988 | 0.980 | 0.813 | 0.806 |
| 0.981 | 0.997 | 0.989 | 0.838 | 0.845 | | 1 |
| cut | | | | |
| --- | --- | --- | --- | --- |
| P | R | F1 | P | R |
| 0.996 | 0.979 | 0.972 | 0.802 | 0.709 |
| 0.982 | 0.968 | 0.975 | 0.733 | 0.718 | | | | GradualandSharp | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Video | TP | FP | FN | P | R | F |
| 01811a | 60 | 7 | 4 | 0.896 | 0.938 | 0.916 |
| 6011 | 40 | 96 | 81 | 0.294 | 0.331 | 0.311 |
| 8024 | 85 | 22 | 21 | 0.794 | 0.802 | 0.798 |
| 8386 | 113 | 10 | 5 | 0.919 | 0.958 | 0.938 |
| 8401 | 26 | 5 | 5 | 0.839 | 0.839 | 0.839 |
| 10558a | 122 | 1 | 8 | 0.992 | 0.938 | 0.964 |
| 23585a | 149 | 10 | 16 | 0.937 | 0.903 | 0.92 |
| 23585b | 103 | 3 | 1 | 0.972 | 0.99 | 0.981 |
| 34921a | 70 | 4 | 5 | 0.946 | 0.933 | 0.94 |
| 34921b | 91 | 10 | 8 | 0.901 | 0.919 | 0.91 |
| 36553 | 200 | 21 | 14 | 0.905 | 0.935 | 0.92 |
| 50009 | 44 | 28 | 14 | 0.611 | 0.759 | 0.677 |
| 50028 | 81 | 17 | 12 | 0.827 | 0.871 | 0.848 |
| UGS01 | 164 | 8 | 12 | 0.953 | 0.932 | 0.943 |
| UGS04 | 218 | 25 | 5 | 0.897 | 0.978 | 0.936 |
| UGS05 | 21 | 6 | 9 | 0.778 | 0.7 | 0.737 |
| UGS09 | 169 | 12 | 24 | 0.934 | 0.876 | 0.904 |
| Total | 1756 | 285 | 244 | 0.86 | 0.878 | 0.869 | | 0 |
| cut | | | | |
| --- | --- | --- | --- | --- |
| P | R | F1 | P | R |
| 0.996 | 0.979 | 0.972 | 0.802 | 0.709 |
| 0.982 | 0.968 | 0.975 | 0.733 | 0.718 |
| 0.942 | 0.945 | 0.944 | 0.595 | 0.766 |
| 0.975 | 0.816 | 0.945 | 0.768 | 0.578 |
| 0.972 | 0.976 | 0.974 | 0.869 | 0.719 | | | 0.978 | 0.968 | 0.973 | 0.826 | 0.731 |
| --- | --- | --- | --- | --- |
| 0.971 | 0.988 | 0.980 | 0.813 | 0.806 |
| 0.981 | 0.997 | 0.989 | 0.838 | 0.845 | | 1 |
| cut | | | | |
| --- | --- | --- | --- | --- |
| P | R | F1 | P | R |
| 0.996 | 0.979 | 0.972 | 0.802 | 0.709 |
| 0.982 | 0.968 | 0.975 | 0.733 | 0.718 |
| 0.942 | 0.945 | 0.944 | 0.595 | 0.766 |
| 0.975 | 0.816 | 0.945 | 0.768 | 0.578 |
| 0.972 | 0.976 | 0.974 | 0.869 | 0.719 | | | 8024 | 85 | 22 | 21 | 0.794 | 0.802 | 0.798 |
| --- | --- | --- | --- | --- | --- | --- |
| 8386 | 113 | 10 | 5 | 0.919 | 0.958 | 0.938 |
| 8401 | 26 | 5 | 5 | 0.839 | 0.839 | 0.839 |
| 10558a | 122 | 1 | 8 | 0.992 | 0.938 | 0.964 |
| 23585a | 149 | 10 | 16 | 0.937 | 0.903 | 0.92 |
| 23585b | 103 | 3 | 1 | 0.972 | 0.99 | 0.981 |
| 34921a | 70 | 4 | 5 | 0.946 | 0.933 | 0.94 |
| 34921b | 91 | 10 | 8 | 0.901 | 0.919 | 0.91 |
| 36553 | 200 | 21 | 14 | 0.905 | 0.935 | 0.92 |
| 50009 | 44 | 28 | 14 | 0.611 | 0.759 | 0.677 |
| 50028 | 81 | 17 | 12 | 0.827 | 0.871 | 0.848 |
| UGS01 | 164 | 8 | 12 | 0.953 | 0.932 | 0.943 |
| UGS04 | 218 | 25 | 5 | 0.897 | 0.978 | 0.936 |
| UGS05 | 21 | 6 | 9 | 0.778 | 0.7 | 0.737 |
| UGS09 | 169 | 12 | 24 | 0.934 | 0.876 | 0.904 |
| Total | 1756 | 285 | 244 | 0.86 | 0.878 | 0.869 | | 0 |
| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |
| --- |
| -classe1810(attendus=169,ramenes=251.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |
| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |
| -classe1830(attendus=169,ramenes=354.00,corrects=36.00)<br>rappel=0.213precision=0.102f-mesure=0.138 |
| -classe1840(attendus=169,ramenes=85.00,corrects=10.00)<br>rappel=0.059precision=0.118f-mesure=0.079 |
| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |
| -classe1860(attendus=170,ramenes=148.00,corrects=13.00)<br>rappel=0.076precision=0.088f-mesure=0.082 |
| -classe1870(attendus=169,ramenes=102.00,corrects=10.00)<br>rappel=0.059precision=0.098f-mesure=0.074 |
| -classe1880(attendus=169,ramenes=164.00,corrects=20.00)<br>rappel=0.118precision=0.122f-mesure=0.120 |
| -classe1890(attendus=197,ramenes=84.00,corrects=7.00)<br>rappel=0.036precision=0.083f-mesure=0.050 |
| -classe1900(attendus=203,ramenes=156.00,corrects=15.00)<br>rappel=0.074precision=0.096f-mesure=0.084 |
| -classe1910(attendus=201,ramenes=84.00,corrects=10.00)<br>rappel=0.050precision=0.119f-mesure=0.070 | | | -classe1920(attendus=200,ramenes=131.00,corrects=15.00)<br>rappel=0.075precision=0.115f-mesure=0.091 |
| --- |
| -classe1930(attendus=200,ramenes=97.00,corrects=10.00)<br>rappel=0.050precision=0.103f-mesure=0.067 |
| -classe1940(attendus=198,ramenes=494.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |
| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.107macroF-mesure=0.111 | | 1 |
| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |
| --- |
| -classe1810(attendus=169,ramenes=251.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |
| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |
| -classe1830(attendus=169,ramenes=354.00,corrects=36.00)<br>rappel=0.213precision=0.102f-mesure=0.138 |
| -classe1840(attendus=169,ramenes=85.00,corrects=10.00)<br>rappel=0.059precision=0.118f-mesure=0.079 |
| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |
| -classe1860(attendus=170,ramenes=148.00,corrects=13.00)<br>rappel=0.076precision=0.088f-mesure=0.082 |
| -classe1870(attendus=169,ramenes=102.00,corrects=10.00)<br>rappel=0.059precision=0.098f-mesure=0.074 |
| -classe1880(attendus=169,ramenes=164.00,corrects=20.00)<br>rappel=0.118precision=0.122f-mesure=0.120 |
| -classe1890(attendus=197,ramenes=84.00,corrects=7.00)<br>rappel=0.036precision=0.083f-mesure=0.050 |
| -classe1900(attendus=203,ramenes=156.00,corrects=15.00)<br>rappel=0.074precision=0.096f-mesure=0.084 |
| -classe1910(attendus=201,ramenes=84.00,corrects=10.00)<br>rappel=0.050precision=0.119f-mesure=0.070 | | | -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |
| --- |
| -classe1810(attendus=169,ramenes=251.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |
| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |
| -classe1830(attendus=169,ramenes=354.00,corrects=36.00)<br>rappel=0.213precision=0.102f-mesure=0.138 |
| -classe1840(attendus=169,ramenes=85.00,corrects=10.00)<br>rappel=0.059precision=0.118f-mesure=0.079 |
| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |
| -classe1860(attendus=170,ramenes=148.00,corrects=13.00)<br>rappel=0.076precision=0.088f-mesure=0.082 |
| -classe1870(attendus=169,ramenes=102.00,corrects=10.00)<br>rappel=0.059precision=0.098f-mesure=0.074 |
| -classe1880(attendus=169,ramenes=164.00,corrects=20.00)<br>rappel=0.118precision=0.122f-mesure=0.120 |
| -classe1890(attendus=197,ramenes=84.00,corrects=7.00)<br>rappel=0.036precision=0.083f-mesure=0.050 |
| -classe1900(attendus=203,ramenes=156.00,corrects=15.00)<br>rappel=0.074precision=0.096f-mesure=0.084 |
| -classe1910(attendus=201,ramenes=84.00,corrects=10.00)<br>rappel=0.050precision=0.119f-mesure=0.070 |
| -classe1920(attendus=200,ramenes=131.00,corrects=15.00)<br>rappel=0.075precision=0.115f-mesure=0.091 |
| -classe1930(attendus=200,ramenes=97.00,corrects=10.00)<br>rappel=0.050precision=0.103f-mesure=0.067 |
| -classe1940(attendus=198,ramenes=494.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |
| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.107macroF-mesure=0.111 | | 0 |
| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |
| --- |
| -classe1810(attendus=169,ramenes=251.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |
| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |
| -classe1830(attendus=169,ramenes=354.00,corrects=36.00)<br>rappel=0.213precision=0.102f-mesure=0.138 |
| -classe1840(attendus=169,ramenes=85.00,corrects=10.00)<br>rappel=0.059precision=0.118f-mesure=0.079 |
| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |
| -classe1860(attendus=170,ramenes=148.00,corrects=13.00)<br>rappel=0.076precision=0.088f-mesure=0.082 |
| -classe1870(attendus=169,ramenes=102.00,corrects=10.00)<br>rappel=0.059precision=0.098f-mesure=0.074 |
| -classe1880(attendus=169,ramenes=164.00,corrects=20.00)<br>rappel=0.118precision=0.122f-mesure=0.120 |
| -classe1890(attendus=197,ramenes=84.00,corrects=7.00)<br>rappel=0.036precision=0.083f-mesure=0.050 |
| -classe1900(attendus=203,ramenes=156.00,corrects=15.00)<br>rappel=0.074precision=0.096f-mesure=0.084 |
| -classe1910(attendus=201,ramenes=84.00,corrects=10.00)<br>rappel=0.050precision=0.119f-mesure=0.070 | | | -classe1920(attendus=200,ramenes=131.00,corrects=15.00)<br>rappel=0.075precision=0.115f-mesure=0.091 |
| --- |
| -classe1930(attendus=200,ramenes=97.00,corrects=10.00)<br>rappel=0.050precision=0.103f-mesure=0.067 |
| -classe1940(attendus=198,ramenes=494.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |
| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.107macroF-mesure=0.111 | | 1 |
| -classe1800(attendus=169,ramenes=127.00,corrects=9.00)<br>rappel=0.053precision=0.071f-mesure=0.061 |
| --- |
| -classe1810(attendus=169,ramenes=251.00,corrects=33.00)<br>rappel=0.195precision=0.131f-mesure=0.157 |
| -classe1820(attendus=169,ramenes=258.00,corrects=29.00)<br>rappel=0.172precision=0.112f-mesure=0.136 |
| -classe1830(attendus=169,ramenes=354.00,corrects=36.00)<br>rappel=0.213precision=0.102f-mesure=0.138 |
| -classe1840(attendus=169,ramenes=85.00,corrects=10.00)<br>rappel=0.059precision=0.118f-mesure=0.079 |
| -classe1850(attendus=169,ramenes=186.00,corrects=16.00)<br>rappel=0.095precision=0.086f-mesure=0.090 |
| -classe1860(attendus=170,ramenes=148.00,corrects=13.00)<br>rappel=0.076precision=0.088f-mesure=0.082 |
| -classe1870(attendus=169,ramenes=102.00,corrects=10.00)<br>rappel=0.059precision=0.098f-mesure=0.074 |
| -classe1880(attendus=169,ramenes=164.00,corrects=20.00)<br>rappel=0.118precision=0.122f-mesure=0.120 |
| -classe1890(attendus=197,ramenes=84.00,corrects=7.00)<br>rappel=0.036precision=0.083f-mesure=0.050 |
| -classe1900(attendus=203,ramenes=156.00,corrects=15.00)<br>rappel=0.074precision=0.096f-mesure=0.084 |
| -classe1910(attendus=201,ramenes=84.00,corrects=10.00)<br>rappel=0.050precision=0.119f-mesure=0.070 | | | -classe1940(attendus=198,ramenes=494.00,corrects=82.00)<br>rappel=0.414precision=0.166f-mesure=0.237 |
| --- |
| -surl’ensembledes15classes<br>macrorappel=0.116macroprecision=0.107macroF-mesure=0.111 | | 0 |
| Data<br>Set | Index<br>Type | Multigram<br>count | Posting<br>Listcount |
| --- | --- | --- | --- |
| Rob01 | LPMS-R-10 | 817 | 252,37 |
| Rob02 | LPMS-R-10 | 1,141 | 79,016 | | | Rob03 | LPMS-R-10 | 1,510 | 51,493 |
| --- | --- | --- | --- |
| Rob04 | LPMS-R-10 | 1,741 | 31,598 |
| Rob01 | LPMS-R-30 | 2,057 | 445,495 |
| Rob02 | LPMS-R-30 | 3,394 | 118,184 |
| Rob03 | LPMS-R-30 | 4,523 | 84,642 |
| Rob04 | LPMS-R-30 | 4,828 | 51,415 |
| Rob01 | LPMS-R-50 | 2,850 | 616,441 |
| Rob02 | LPMS-R-50 | 5,262 | 171,993 |
| Rob03 | LPMS-R-50 | 2,332 | 81,068 |
| Rob04 | LPMS-R-50 | 5,973 | 50,773 |
| Rob01 | LPMS-D-10 | 227 | 516,434 |
| Rob02 | LPMS-D-10 | 3,241 | 552,450 |
| Rob03 | LPMS-D-10 | 5,640 | 295,191 |
| Rob04 | LPMS-D-10 | 7,671 | 240,604 |
| Rob01 | LPMS-D-30 | 260 | 574,119 |
| Rob02 | LPMS-D-30 | 5,882 | 883,673 |
| Rob03 | LPMS-D-30 | 12,894 | 572,456 |
| Rob04 | LPMS-D-30 | 16,572 | 366,812 |
| Rob01 | LPMS-D-50 | 151 | 487,904 |
| Rob02 | LPMS-D-50 | 6,114 | 1,020,066 |
| Rob03 | LPMS-D-50 | 17,349 | 727,759 |
| Rob04 | LPMS-D-50 | 24,161 | 510,894 | | 1 |
| Data<br>Set | Index<br>Type | Multigram<br>count | Posting<br>Listcount |
| --- | --- | --- | --- |
| Rob01 | LPMS-R-10 | 817 | 252,37 |
| Rob02 | LPMS-R-10 | 1,141 | 79,016 | | | Graph | 2 | 4 | 8 | 16 | 32 | 64 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| add20 | 641 | 594 | 1212 | 1177 | 1814 | 1704 | 2427 | 2121 | | 2687 | | 3236 |
| data | 190 | 188 | 405 | 383 | 699 | 660 | | 1162 | | 1865 | | 2885 |
| 3elt | 90 | 89 | 201 | 199 | 361 | 342 | 654 | 569 | | 969 | | 1564 |
| uk | 19 | 19 | 41 | 42 | 92 | 84 | 179 | 152 | | 258 | | 438 |
| add32 | 10 | 10 | 33 | 33 | 66 | 66 | 117 | 117 | 212 | 212 | | 493 |
| bcsstk33 | 10105 | 10097 | 21756 | 21508 | 34377 | 34178 | 56687 | 54860 | | 78132 | | 108505 |
| whitaker3 | 126 | 126 | 382 | 380 | 670 | 656 | 1163 | 1093 | | 1717 | | 2567 |
| crack | 184 | 183 | 370 | 362 | 696 | 678 | 1183 | 1092 | | 1707 | | 2566 |
| | | | | | | | | | | | | |
| | | | | | | | | | | | | |
| vibrobox | 11538 | 10310 | 19267 | 19199 | 25190 | 24553 | 35514 | 32167 | 46331 | 41399 | | 49521 |
| bcsstk29 | 2818 | 2818 | 8035 | 8159 | 14212 | 13965 | 23808 | 21768 | | 34886 | | 57054 |
| 4elt | 138 | 138 | 325 | 321 | 561 | 534 | 1009 | 939 | | 1559 | | 2596 |
| | | | | | | | | | | | | |
| cti | 318 | 318 | 950 | 944 | 1815 | 1802 | 3056 | 2906 | 5044 | 4223 | | 5875 |
| memplus | 5698 | 5489 | 10234 | 9559 | 12599 | 11785 | 14410 | 13241 | 16340 | 14395 | | 16857 |
| cs4 | 378 | 367 | 970 | 940 | 1520 | 1467 | 2285 | 2206 | 3521 | 3090 | | 4169 |
| bcsstk30 | 6347 | 6335 | 16617 | 16622 | 34761 | 34604 | 72028 | 71234 | | 115770 | | 173945 |
| bcsstk31 | 2723 | 2701 | 7351 | 7444 | 13371 | 13417 | 24791 | 24277 | 42745 | 38086 | | 60528 |
| | | | | | | | | | | | | |
| bcsstk32 | 4667 | 4667 | 9247 | 9492 | 20855 | 21490 | 37372 | 37673 | 72471 | 61144 | | 95199 |
| | | | | | | | | | | | | |
| t60k | 78 | 75 | 213 | 211 | 470 | 465 | 866 | 849 | 1493 | 1391 | | 2211 |
| wing | 803 | 787 | 1683 | 1666 | 2616 | 2589 | 4147 | 4131 | 6271 | 5902 | | 8132 |
| brack2 | 708 | 708 | 3027 | 3038 | 7144 | 7269 | 11969 | 11983 | 18496 | 17798 | | 26557 |
| finan512 | 162 | 162 | 324 | 324 | 648 | 648 | 1296 | 1296 | 2592 | 2592 | | 10560 |
| | | | | | | | | | | | | |
| | | | | | | | | | | | | |
| 598a | 2390 | 2388 | 7992 | 8154 | 16179 | 16467 | 26196 | 26427 | 40513 | 40674 | | 59098 |
| | | | | | | | | | | | | |
| 144 | 6489 | 6479 | 15196 | 15345 | 25455 | 25818 | 38940 | 39352 | 58359 | 58126 | | 81145 |
| wave | 8716 | 8682 | 16891 | 17475 | 29207 | 30511 | 43697 | 44611 | 64198 | 64551 | | 88863 |
| m14b | 3828 | 3826 | 13034 | 13391 | 25921 | 26666 | 42513 | 43975 | 67990 | 67770 | | 101551 |
| auto | 10004 | 10042 | 26941 | 27790 | 45731 | 47650 | 77618 | 79847 | 123296 | 124991 | 179309 | 175975 | | 0 |
| Data<br>Set | Index<br>Type | Multigram<br>count | Posting<br>Listcount |
| --- | --- | --- | --- |
| Rob01 | LPMS-R-10 | 817 | 252,37 |
| Rob02 | LPMS-R-10 | 1,141 | 79,016 |
| Rob03 | LPMS-R-10 | 1,510 | 51,493 | | | Rob04 | LPMS-R-10 | 1,741 | 31,598 |
| --- | --- | --- | --- |
| Rob01 | LPMS-R-30 | 2,057 | 445,495 |
| Rob02 | LPMS-R-30 | 3,394 | 118,184 |
| Rob03 | LPMS-R-30 | 4,523 | 84,642 |
| Rob04 | LPMS-R-30 | 4,828 | 51,415 |
| Rob01 | LPMS-R-50 | 2,850 | 616,441 |
| Rob02 | LPMS-R-50 | 5,262 | 171,993 |
| Rob03 | LPMS-R-50 | 2,332 | 81,068 |
| Rob04 | LPMS-R-50 | 5,973 | 50,773 |
| Rob01 | LPMS-D-10 | 227 | 516,434 |
| Rob02 | LPMS-D-10 | 3,241 | 552,450 |
| Rob03 | LPMS-D-10 | 5,640 | 295,191 |
| Rob04 | LPMS-D-10 | 7,671 | 240,604 |
| Rob01 | LPMS-D-30 | 260 | 574,119 |
| Rob02 | LPMS-D-30 | 5,882 | 883,673 |
| Rob03 | LPMS-D-30 | 12,894 | 572,456 |
| Rob04 | LPMS-D-30 | 16,572 | 366,812 |
| Rob01 | LPMS-D-50 | 151 | 487,904 |
| Rob02 | LPMS-D-50 | 6,114 | 1,020,066 |
| Rob03 | LPMS-D-50 | 17,349 | 727,759 |
| Rob04 | LPMS-D-50 | 24,161 | 510,894 | | 1 |
| Data<br>Set | Index<br>Type | Multigram<br>count | Posting<br>Listcount |
| --- | --- | --- | --- |
| Rob01 | LPMS-R-10 | 817 | 252,37 |
| Rob02 | LPMS-R-10 | 1,141 | 79,016 |
| Rob03 | LPMS-R-10 | 1,510 | 51,493 | | | | | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | | | | | |
| 598a | 2390 | 2388 | 7992 | 8154 | 16179 | 16467 | 26196 | 26427 | 40513 | 40674 | | 59098 |
| | | | | | | | | | | | | |
| 144 | 6489 | 6479 | 15196 | 15345 | 25455 | 25818 | 38940 | 39352 | 58359 | 58126 | | 81145 |
| wave | 8716 | 8682 | 16891 | 17475 | 29207 | 30511 | 43697 | 44611 | 64198 | 64551 | | 88863 |
| m14b | 3828 | 3826 | 13034 | 13391 | 25921 | 26666 | 42513 | 43975 | 67990 | 67770 | | 101551 |
| auto | 10004 | 10042 | 26941 | 27790 | 45731 | 47650 | 77618 | 79847 | 123296 | 124991 | 179309 | 175975 | | 0 |
| SystemsMT04MT05Average |
| --- |
| Deep2str34.8932.2433.57 |
| inCNN36.9233.7235.32 | | | inCNN-2pooling36.3332.8834.61 |
| --- |
| inCNN-4pooling36.4633.0134.74 |
| inCNN-8pooling36.5733.3934.98 | | 1 |
| SystemsMT04MT05Average |
| --- |
| Deep2str34.8932.2433.57 |
| inCNN36.9233.7235.32 | | | IDNetworkstructureAveragePERmin-maxPERparamsops |
| --- |
| 1DNN2000+2x100022.0221.86-22.116.9M6.9M |
| 2DNN2000+4x100021.8721.68-21.988.9M8.9M |
| 3CNNLWS+2x100020.1719.92-20.415.4M10.7M |
| 4CNNFWS+2x100020.3120.16-20.588.5M13.6M |
| 5CNNFWS+FWS+2x100020.2320.11-20.294.5M11.7M |
| 6CNNFWS+LWS+2x100020.3619.91-20.614.1M7.5M | | 0 |
| SystemsMT04MT05Average |
| --- |
| Deep2str34.8932.2433.57 |
| inCNN36.9233.7235.32 | | | inCNN-2pooling36.3332.8834.61 |
| --- |
| inCNN-4pooling36.4633.0134.74 |
| inCNN-8pooling36.5733.3934.98 | | 1 |
| SystemsMT04MT05Average |
| --- |
| Deep2str34.8932.2433.57 |
| inCNN36.9233.7235.32 | | | 5CNNFWS+FWS+2x100020.2320.11-20.294.5M11.7M |
| --- |
| 6CNNFWS+LWS+2x100020.3619.91-20.614.1M7.5M | | 0 |
| Benchmark | #Agents<br>124814 | | | | |
| --- | --- | --- | --- | --- | --- |
| 9-Costas | 756.785 | 385.251(1.96) | 192.157(3.93) | 96.560(7.83) | 55.602(13.61) | | | Stable | 644.989 | 384.961(1.67) | 192.991(3.34) | 99.071(6.51) | 55.764(11.56) |
| --- | --- | --- | --- | --- | --- |
| Knight | 270.672 | 139.307(1.94) | 69.951(3.86) | 35.338(7.65) | 22.504(12.02) |
| SendMore | 111.345 | 64.650(1.72) | 32.562(3.41) | 16.504(6.74) | 9.806(11.35) |
| 8-Costas | 70.362 | 35.899(1.95) | 19.383(3.63) | 9.197(7.65) | 5.441(12.93) |
| 8-Puzzle | 53.843 | 48.754(1.1) | 15.490(3.47) | 12.731(4.22) | 8.111(6.63) |
| Bart | 26.419 | 14.378(1.83) | 7.513(3.51) | 3.870(6.82) | 2.540(10.4) |
| Solitaire | 11.883 | 7.187(1.65) | 3.664(3.24) | 1.955(6.07) | 1.363(8.71) |
| 10-Queens | 7.595 | 3.857(1.96) | 2.117(3.58) | 1.330(5.71) | 1.160(6.54) |
| Hamilton | 6.964 | 4.061(1.71) | 2.246(3.1) | 1.941(3.58) | 1.606(4.33) |
| MapColoring | 2.207 | 1.389(1.58) | 0.816(2.7) | 0.595(3.7) | 0.469(4.7) |
| 8-Queens | 0.304 | 0.194(1.56) | 0.181(1.67) | 0.155(1.96) | 0.177(1.71) | | 1 |
| Benchmark | #Agents<br>124814 | | | | |
| --- | --- | --- | --- | --- | --- |
| 9-Costas | 756.785 | 385.251(1.96) | 192.157(3.93) | 96.560(7.83) | 55.602(13.61) | | | Benchmark | #Agents<br>124814 | | | | |
| --- | --- | --- | --- | --- | --- |
| 9-Costas | 715.963 | 366.385(1.95) | 182.654(3.91) | 93.602(7.64) | 52.901(13.53) |
| Stable | 614.582 | 374.259(1.64) | 184.404(3.33) | 93.884(6.54) | 54.022(11.37) |
| Knight | 276.849 | 141.118(1.96) | 70.568(3.92) | 35.741(7.74) | 20.958(13.2) |
| SendMore | 116.518 | 65.936(1.76) | 31.892(3.65) | 16.882(6.9) | 10.364(11.24) |
| 8-Costas | 66.221 | 34.053(1.94) | 17.126(3.86) | 8.656(7.65) | 5.202(12.72) |
| 8-Puzzle | 52.909 | 29.615(1.78) | 15.148(3.49) | 8.206(6.44) | 5.654(9.35) |
| Bart | 25.734 | 13.898(1.85) | 6.863(3.74) | 3.704(6.94) | 2.382(10.8) |
| Solitaire | 12.676 | 7.552(1.67) | 3.910(3.24) | 2.177(5.82) | 1.606(7.89) |
| 10-Queens | 7.557 | 3.935(1.92) | 2.116(3.57) | 1.483(5.09) | 1.535(4.92) |
| Hamilton | 6.908 | 3.910(1.76) | 1.963(3.51) | 1.284(5.38) | 0.991(6.97) |
| MapColoring | 2.009 | 1.332(1.5) | 0.721(2.78) | 0.476(4.22) | 0.675(2.97) |
| 8-Queens | 0.308 | 0.194(1.58) | 0.158(1.94) | 0.161(1.91) | 0.138(2.23) | | 0 |
| Benchmark | #Agents<br>124814 | | | | |
| --- | --- | --- | --- | --- | --- |
| 9-Costas | 756.785 | 385.251(1.96) | 192.157(3.93) | 96.560(7.83) | 55.602(13.61) | | | Stable | 644.989 | 384.961(1.67) | 192.991(3.34) | 99.071(6.51) | 55.764(11.56) |
| --- | --- | --- | --- | --- | --- |
| Knight | 270.672 | 139.307(1.94) | 69.951(3.86) | 35.338(7.65) | 22.504(12.02) |
| SendMore | 111.345 | 64.650(1.72) | 32.562(3.41) | 16.504(6.74) | 9.806(11.35) |
| 8-Costas | 70.362 | 35.899(1.95) | 19.383(3.63) | 9.197(7.65) | 5.441(12.93) |
| 8-Puzzle | 53.843 | 48.754(1.1) | 15.490(3.47) | 12.731(4.22) | 8.111(6.63) |
| Bart | 26.419 | 14.378(1.83) | 7.513(3.51) | 3.870(6.82) | 2.540(10.4) |
| Solitaire | 11.883 | 7.187(1.65) | 3.664(3.24) | 1.955(6.07) | 1.363(8.71) |
| 10-Queens | 7.595 | 3.857(1.96) | 2.117(3.58) | 1.330(5.71) | 1.160(6.54) |
| Hamilton | 6.964 | 4.061(1.71) | 2.246(3.1) | 1.941(3.58) | 1.606(4.33) |
| MapColoring | 2.207 | 1.389(1.58) | 0.816(2.7) | 0.595(3.7) | 0.469(4.7) |
| 8-Queens | 0.304 | 0.194(1.56) | 0.181(1.67) | 0.155(1.96) | 0.177(1.71) | | 1 |
| Benchmark | #Agents<br>124814 | | | | |
| --- | --- | --- | --- | --- | --- |
| 9-Costas | 756.785 | 385.251(1.96) | 192.157(3.93) | 96.560(7.83) | 55.602(13.61) | | | SendMore | 116.518 | 65.936(1.76) | 31.892(3.65) | 16.882(6.9) | 10.364(11.24) |
| --- | --- | --- | --- | --- | --- |
| 8-Costas | 66.221 | 34.053(1.94) | 17.126(3.86) | 8.656(7.65) | 5.202(12.72) |
| 8-Puzzle | 52.909 | 29.615(1.78) | 15.148(3.49) | 8.206(6.44) | 5.654(9.35) |
| Bart | 25.734 | 13.898(1.85) | 6.863(3.74) | 3.704(6.94) | 2.382(10.8) |
| Solitaire | 12.676 | 7.552(1.67) | 3.910(3.24) | 2.177(5.82) | 1.606(7.89) |
| 10-Queens | 7.557 | 3.935(1.92) | 2.116(3.57) | 1.483(5.09) | 1.535(4.92) |
| Hamilton | 6.908 | 3.910(1.76) | 1.963(3.51) | 1.284(5.38) | 0.991(6.97) |
| MapColoring | 2.009 | 1.332(1.5) | 0.721(2.78) | 0.476(4.22) | 0.675(2.97) |
| 8-Queens | 0.308 | 0.194(1.58) | 0.158(1.94) | 0.161(1.91) | 0.138(2.23) | | 0 |
| | Gradual | Sharp | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |
| 1004ABCa | 203 | 166 | 13 | 37 | 0.927 | 0.818 | 0.869 | 224 | 213 | 22 | 11 | 0.906 | | | 1012CNNa | 170 | 136 | 13 | 34 | 0.913 | 0.8 | 0.853 | 215 | 194 | 15 | 21 | 0.928 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1016CNNa | 150 | 119 | 9 | 31 | 0.93 | 0.793 | 0.856 | 242 | 214 | 13 | 28 | 0.943 |
| 1021ABCa | 175 | 154 | 13 | 21 | 0.922 | 0.88 | 0.901 | 240 | 230 | 18 | 10 | 0.927 |
| 1101CNNa | 204 | 172 | 20 | 32 | 0.896 | 0.843 | 0.869 | 191 | 187 | 11 | 4 | 0.944 |
| 1109ABCa | 170 | 151 | 10 | 19 | 0.938 | 0.888 | 0.912 | 257 | 246 | 15 | 11 | 0.943 |
| 1123CNNa | 126 | 93 | 29 | 33 | 0.762 | 0.738 | 0.75 | 236 | 214 | 10 | 22 | 0.955 |
| 1126ABCa | 189 | 168 | 12 | 21 | 0.933 | 0.889 | 0.911 | 273 | 261 | 23 | 12 | 0.919 |
| 1208CNNa | 137 | 112 | 15 | 25 | 0.882 | 0.818 | 0.848 | 212 | 196 | 17 | 16 | 0.92 |
| 1210ABCa | 159 | 140 | 8 | 19 | 0.946 | 0.881 | 0.912 | 271 | 252 | 14 | 19 | 0.947 |
| 1216CNNa | 153 | 119 | 11 | 34 | 0.915 | 0.778 | 0.841 | 197 | 187 | 26 | 10 | 0.878 |
| 1221ABCa | 195 | 149 | 14 | 46 | 0.914 | 0.764 | 0.832 | 217 | 197 | 27 | 20 | 0.879 |
| Total | 2031 | 1679 | 167 | 352 | 0.91 | 0.827 | 0.866 | 2031 | 2591 | 211 | 184 | 0.925 | | 1 |
| | Gradual | Sharp | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |
| 1004ABCa | 203 | 166 | 13 | 37 | 0.927 | 0.818 | 0.869 | 224 | 213 | 22 | 11 | 0.906 | | | | Gradual | Sharp | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |
| 1004ABCa | 203 | 177 | 9 | 26 | 0.952 | 0.872 | 0.91 | 224 | 209 | 18 | 15 | 0.921 |
| 1012CNNa | 170 | 149 | 23 | 21 | 0.866 | 0.876 | 0.871 | 215 | 191 | 13 | 24 | 0.936 |
| 1016CNNa | 150 | 122 | 13 | 28 | 0.904 | 0.813 | 0.856 | 242 | 211 | 12 | 31 | 0.946 |
| 1021ABCa | 175 | 154 | 22 | 21 | 0.875 | 0.88 | 0.877 | 240 | 227 | 14 | 13 | 0.942 |
| 1101CNNa | 204 | 187 | 13 | 17 | 0.935 | 0.917 | 0.926 | 191 | 180 | 12 | 11 | 0.938 |
| 1109ABCa | 170 | 159 | 12 | 11 | 0.93 | 0.935 | 0.933 | 257 | 241 | 11 | 16 | 0.956 |
| 1123CNNa | 126 | 99 | 32 | 27 | 0.756 | 0.786 | 0.77 | 236 | 206 | 8 | 30 | 0.963 |
| 1126ABCa | 189 | 179 | 16 | 10 | 0.918 | 0.947 | 0.932 | 273 | 260 | 14 | 13 | 0.949 |
| 1208CNNa | 137 | 117 | 22 | 20 | 0.842 | 0.854 | 0.848 | 212 | 192 | 17 | 20 | 0.919 |
| 1210ABCa | 159 | 148 | 21 | 11 | 0.876 | 0.931 | 0.902 | 271 | 251 | 7 | 20 | 0.973 |
| 1216CNNa | 153 | 137 | 25 | 16 | 0.846 | 0.895 | 0.87 | 197 | 184 | 21 | 13 | 0.898 |
| 1221ABCa | 195 | 168 | 18 | 27 | 0.903 | 0.862 | 0.882 | 217 | 195 | 13 | 22 | 0.938 |
| Total | 2031 | 1796 | 226 | 235 | 0.888 | 0.884 | 0.886 | 2775 | 2547 | 160 | 228 | 0.941 | | 0 |
| | Gradual | Sharp | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |
| 1004ABCa | 203 | 166 | 13 | 37 | 0.927 | 0.818 | 0.869 | 224 | 213 | 22 | 11 | 0.906 |
| 1012CNNa | 170 | 136 | 13 | 34 | 0.913 | 0.8 | 0.853 | 215 | 194 | 15 | 21 | 0.928 |
| 1016CNNa | 150 | 119 | 9 | 31 | 0.93 | 0.793 | 0.856 | 242 | 214 | 13 | 28 | 0.943 |
| 1021ABCa | 175 | 154 | 13 | 21 | 0.922 | 0.88 | 0.901 | 240 | 230 | 18 | 10 | 0.927 |
| 1101CNNa | 204 | 172 | 20 | 32 | 0.896 | 0.843 | 0.869 | 191 | 187 | 11 | 4 | 0.944 |
| 1109ABCa | 170 | 151 | 10 | 19 | 0.938 | 0.888 | 0.912 | 257 | 246 | 15 | 11 | 0.943 |
| 1123CNNa | 126 | 93 | 29 | 33 | 0.762 | 0.738 | 0.75 | 236 | 214 | 10 | 22 | 0.955 | | | 1126ABCa | 189 | 168 | 12 | 21 | 0.933 | 0.889 | 0.911 | 273 | 261 | 23 | 12 | 0.919 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1208CNNa | 137 | 112 | 15 | 25 | 0.882 | 0.818 | 0.848 | 212 | 196 | 17 | 16 | 0.92 |
| 1210ABCa | 159 | 140 | 8 | 19 | 0.946 | 0.881 | 0.912 | 271 | 252 | 14 | 19 | 0.947 |
| 1216CNNa | 153 | 119 | 11 | 34 | 0.915 | 0.778 | 0.841 | 197 | 187 | 26 | 10 | 0.878 |
| 1221ABCa | 195 | 149 | 14 | 46 | 0.914 | 0.764 | 0.832 | 217 | 197 | 27 | 20 | 0.879 |
| Total | 2031 | 1679 | 167 | 352 | 0.91 | 0.827 | 0.866 | 2031 | 2591 | 211 | 184 | 0.925 | | 1 |
| | Gradual | Sharp | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |
| 1004ABCa | 203 | 166 | 13 | 37 | 0.927 | 0.818 | 0.869 | 224 | 213 | 22 | 11 | 0.906 |
| 1012CNNa | 170 | 136 | 13 | 34 | 0.913 | 0.8 | 0.853 | 215 | 194 | 15 | 21 | 0.928 |
| 1016CNNa | 150 | 119 | 9 | 31 | 0.93 | 0.793 | 0.856 | 242 | 214 | 13 | 28 | 0.943 |
| 1021ABCa | 175 | 154 | 13 | 21 | 0.922 | 0.88 | 0.901 | 240 | 230 | 18 | 10 | 0.927 |
| 1101CNNa | 204 | 172 | 20 | 32 | 0.896 | 0.843 | 0.869 | 191 | 187 | 11 | 4 | 0.944 |
| 1109ABCa | 170 | 151 | 10 | 19 | 0.938 | 0.888 | 0.912 | 257 | 246 | 15 | 11 | 0.943 |
| 1123CNNa | 126 | 93 | 29 | 33 | 0.762 | 0.738 | 0.75 | 236 | 214 | 10 | 22 | 0.955 | | | 1123CNNa | 126 | 99 | 32 | 27 | 0.756 | 0.786 | 0.77 | 236 | 206 | 8 | 30 | 0.963 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1126ABCa | 189 | 179 | 16 | 10 | 0.918 | 0.947 | 0.932 | 273 | 260 | 14 | 13 | 0.949 |
| 1208CNNa | 137 | 117 | 22 | 20 | 0.842 | 0.854 | 0.848 | 212 | 192 | 17 | 20 | 0.919 |
| 1210ABCa | 159 | 148 | 21 | 11 | 0.876 | 0.931 | 0.902 | 271 | 251 | 7 | 20 | 0.973 |
| 1216CNNa | 153 | 137 | 25 | 16 | 0.846 | 0.895 | 0.87 | 197 | 184 | 21 | 13 | 0.898 |
| 1221ABCa | 195 | 168 | 18 | 27 | 0.903 | 0.862 | 0.882 | 217 | 195 | 13 | 22 | 0.938 |
| Total | 2031 | 1796 | 226 | 235 | 0.888 | 0.884 | 0.886 | 2775 | 2547 | 160 | 228 | 0.941 | | 0 |
| typeoftokens | count |
| --- | --- |
| alltokens | 40049 |
| noun | 14485 |
| adj | 1320 |
| adv | 1063 |
| verb | 3459 |
| strongpositive | 401 |
| strongnegative | 359 |
| weakpositive | 480 |
| weaknegative | 433 |
| capitalizedwords | 2022 |
| mention(@) | 462 | | | hashtag(#) | 4330 |
| --- | --- |
| RT | 573 |
| positiveemoticons | 8 |
| positiveemoticons | 3 | | 1 |
| typeoftokens | count |
| --- | --- |
| alltokens | 40049 |
| noun | 14485 |
| adj | 1320 |
| adv | 1063 |
| verb | 3459 |
| strongpositive | 401 |
| strongnegative | 359 |
| weakpositive | 480 |
| weaknegative | 433 |
| capitalizedwords | 2022 |
| mention(@) | 462 | | | Language | #ofTokens | #ofUniqueTokens | Projects |
| --- | --- | --- | --- |
| Java | 16797357 | 283255 | 12 |
| Haskell | 19113708 | 473065 | 100 |
| Ruby | 17187917 | 862575 | 15 |
| Clojure | 12553943 | 563610 | 561 |
| C | 14172588 | 306901 | 10 | | 0 |
| typeoftokens | count |
| --- | --- |
| alltokens | 40049 |
| noun | 14485 |
| adj | 1320 |
| adv | 1063 |
| verb | 3459 |
| strongpositive | 401 |
| strongnegative | 359 |
| weakpositive | 480 |
| weaknegative | 433 |
| capitalizedwords | 2022 |
| mention(@) | 462 |
| hashtag(#) | 4330 |
| RT | 573 | | | positiveemoticons | 8 |
| --- | --- |
| positiveemoticons | 3 | | 1 |
| typeoftokens | count |
| --- | --- |
| alltokens | 40049 |
| noun | 14485 |
| adj | 1320 |
| adv | 1063 |
| verb | 3459 |
| strongpositive | 401 |
| strongnegative | 359 |
| weakpositive | 480 |
| weaknegative | 433 |
| capitalizedwords | 2022 |
| mention(@) | 462 |
| hashtag(#) | 4330 |
| RT | 573 | | | Ruby | 17187917 | 862575 | 15 |
| --- | --- | --- | --- |
| Clojure | 12553943 | 563610 | 561 |
| C | 14172588 | 306901 | 10 | | 0 |
| | TestImage | | | | |
| --- | --- | --- | --- | --- | --- |
| Method | 1 | 2 | 3 | 4 | 5 |
| BPDN | 29.47 | 32.91 | 30.08 | 31.73 | 30.19 |
| CBPDN | 29.31 | 32.70 | 29.76 | 31.27 | 30.09 |
| CBPDN+Grd | 29.28 | 32.76 | 30.02 | 31.22 | 30.12 |
| CBPDN+STV | 30.17 | 33.01 | 29.90 | 32.09 | 30.34 | | | CBPDN+VTV | 29.60 | 33.04 | 29.96 | 31.63 | 30.31 |
| --- | --- | --- | --- | --- | --- |
| CBPDN+RTV | 29.28 | 32.84 | 29.76 | 31.29 | 30.19 | | 1 |
| | TestImage | | | | |
| --- | --- | --- | --- | --- | --- |
| Method | 1 | 2 | 3 | 4 | 5 |
| BPDN | 29.47 | 32.91 | 30.08 | 31.73 | 30.19 |
| CBPDN | 29.31 | 32.70 | 29.76 | 31.27 | 30.09 |
| CBPDN+Grd | 29.28 | 32.76 | 30.02 | 31.22 | 30.12 |
| CBPDN+STV | 30.17 | 33.01 | 29.90 | 32.09 | 30.34 | | | | GradualandSharp | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Video | TP | FP | FN | P | R | F |
| BOR03 | 237 | 32 | 5 | 0.881 | 0.979 | 0.928 |
| BOR08 | 456 | 8 | 75 | 0.983 | 0.859 | 0.917 |
| BOR10 | 58 | 84 | 94 | 0.408 | 0.382 | 0.395 |
| BOR12 | 117 | 5 | 19 | 0.959 | 0.86 | 0.907 |
| BOR17 | 77 | 137 | 171 | 0.36 | 0.31 | 0.333 |
| Total | 945 | 266 | 364 | 0.78 | 0.722 | 0.75 | | 0 |
| | TestImage | | | | |
| --- | --- | --- | --- | --- | --- |
| Method | 1 | 2 | 3 | 4 | 5 | | | BPDN | 29.47 | 32.91 | 30.08 | 31.73 | 30.19 |
| --- | --- | --- | --- | --- | --- |
| CBPDN | 29.31 | 32.70 | 29.76 | 31.27 | 30.09 |
| CBPDN+Grd | 29.28 | 32.76 | 30.02 | 31.22 | 30.12 |
| CBPDN+STV | 30.17 | 33.01 | 29.90 | 32.09 | 30.34 |
| CBPDN+VTV | 29.60 | 33.04 | 29.96 | 31.63 | 30.31 |
| CBPDN+RTV | 29.28 | 32.84 | 29.76 | 31.29 | 30.19 | | 1 |
| | TestImage | | | | |
| --- | --- | --- | --- | --- | --- |
| Method | 1 | 2 | 3 | 4 | 5 | | | BOR17 | 77 | 137 | 171 | 0.36 | 0.31 | 0.333 |
| --- | --- | --- | --- | --- | --- | --- |
| Total | 945 | 266 | 364 | 0.78 | 0.722 | 0.75 | | 0 |
| Layer(type) | Parameters | PreviousLayer |
| --- | --- | --- |
| conv1(Convolution) | channels=32,kernelsize=3,padding=1 | data |
| activation1(Activation) | null | conv1 | | | conv2(Convolution) | channels=32,kernelsize=3,padding=1 | activation1 |
| --- | --- | --- |
| activation2(Activation) | null | conv2 |
| pooling1(Pooling) | poolsize=2 | activation2 |
| dropout1(Dropout) | probability=0.2 | pooling1 |
| conv3(Convolution) | channels=64,kernelsize=3,padding=1 | dropout1 |
| activation2(Activation) | null | conv3 |
| conv4(Convolution) | channels=64,kernelsize=3,padding=1 | activation2 |
| activation4(Activation) | null | conv4 |
| pooling2(Pooling) | poolsize=2 | activation4 |
| dropout2(Dropout) | probability=0.2 | pooling2 |
| flatten1(Flatten) | null | dropout2 |
| fc1(FullyConnected) | #output=512 | flatten1 |
| activation5(Activation) | null | fc1 |
| dropout3(Dropout) | probability=0.2 | activation5 |
| fc2(FullyConnected) | #output=512 | dropout3 |
| activation6(Activation) | null | fc2 |
| dropout4(Dropout) | probability=0.2 | activation6 |
| fc3(FullyConnected) | #output=10 | dropout4 |
| softmax(SoftmaxOutput) | null | fc3 | | 1 |
| Layer(type) | Parameters | PreviousLayer |
| --- | --- | --- |
| conv1(Convolution) | channels=32,kernelsize=3,padding=1 | data |
| activation1(Activation) | null | conv1 | | | Layer(type) | Parameters | PreviousLayer |
| --- | --- | --- |
| conv1(Convolution) | channels=32,kernelsize=3,padding=1 | data |
| activation1(Activation) | null | conv1 |
| conv2(Convolution) | channels=32,kernelsize=3,padding=1 | activation1 |
| activation2(Activation) | null | conv2 |
| pooling1(Pooling) | poolsize=2 | activation2 |
| dropout1(Dropout) | probability=0.2 | pooling1 |
| conv3(Convolution) | channels=64,kernelsize=3,padding=1 | dropout1 |
| activation2(Activation) | null | conv3 |
| conv4(Convolution) | channels=64,kernelsize=3,padding=1 | activation2 |
| activation4(Activation) | null | conv4 |
| pooling2(Pooling) | poolsize=2 | activation4 |
| dropout2(Dropout) | probability=0.2 | pooling2 |
| flatten1(Flatten) | null | dropout2 |
| fc1(FullyConnected) | #output=512 | flatten1 |
| activation5(Activation) | null | fc1 |
| dropout3(Dropout) | probability=0.2 | activation5 |
| fc2(FullyConnected) | #output=512 | dropout3 |
| activation6(Activation) | null | fc2 |
| dropout4(Dropout) | probability=0.2 | activation6 |
| fc3(FullyConnected) | #output=10 | dropout4 |
| softmax(SoftmaxOutput) | null | fc3 | | 0 |
| Layer(type) | Parameters | PreviousLayer |
| --- | --- | --- |
| conv1(Convolution) | channels=32,kernelsize=3,padding=1 | data |
| activation1(Activation) | null | conv1 |
| conv2(Convolution) | channels=32,kernelsize=3,padding=1 | activation1 |
| activation2(Activation) | null | conv2 |
| pooling1(Pooling) | poolsize=2 | activation2 |
| dropout1(Dropout) | probability=0.2 | pooling1 |
| conv3(Convolution) | channels=64,kernelsize=3,padding=1 | dropout1 |
| activation2(Activation) | null | conv3 | | | conv4(Convolution) | channels=64,kernelsize=3,padding=1 | activation2 |
| --- | --- | --- |
| activation4(Activation) | null | conv4 |
| pooling2(Pooling) | poolsize=2 | activation4 |
| dropout2(Dropout) | probability=0.2 | pooling2 |
| flatten1(Flatten) | null | dropout2 |
| fc1(FullyConnected) | #output=512 | flatten1 |
| activation5(Activation) | null | fc1 |
| dropout3(Dropout) | probability=0.2 | activation5 |
| fc2(FullyConnected) | #output=512 | dropout3 |
| activation6(Activation) | null | fc2 |
| dropout4(Dropout) | probability=0.2 | activation6 |
| fc3(FullyConnected) | #output=10 | dropout4 |
| softmax(SoftmaxOutput) | null | fc3 | | 1 |
| Layer(type) | Parameters | PreviousLayer |
| --- | --- | --- |
| conv1(Convolution) | channels=32,kernelsize=3,padding=1 | data |
| activation1(Activation) | null | conv1 |
| conv2(Convolution) | channels=32,kernelsize=3,padding=1 | activation1 |
| activation2(Activation) | null | conv2 |
| pooling1(Pooling) | poolsize=2 | activation2 |
| dropout1(Dropout) | probability=0.2 | pooling1 |
| conv3(Convolution) | channels=64,kernelsize=3,padding=1 | dropout1 |
| activation2(Activation) | null | conv3 | | | activation2(Activation) | null | conv3 |
| --- | --- | --- |
| conv4(Convolution) | channels=64,kernelsize=3,padding=1 | activation2 |
| activation4(Activation) | null | conv4 |
| pooling2(Pooling) | poolsize=2 | activation4 |
| dropout2(Dropout) | probability=0.2 | pooling2 |
| flatten1(Flatten) | null | dropout2 |
| fc1(FullyConnected) | #output=512 | flatten1 |
| activation5(Activation) | null | fc1 |
| dropout3(Dropout) | probability=0.2 | activation5 |
| fc2(FullyConnected) | #output=512 | dropout3 |
| activation6(Activation) | null | fc2 |
| dropout4(Dropout) | probability=0.2 | activation6 |
| fc3(FullyConnected) | #output=10 | dropout4 |
| softmax(SoftmaxOutput) | null | fc3 | | 0 |
| Atomicpropositions | Meaning/definition |
| --- | --- |
| attacked.receive.http | ThetargethostreceivesthesameHTTPrequest |
| p | theHTTPrequestcontains“n”andhexadecimal0x0a\ |
| attacked.xterm | ThetargetserverexecutesanXtermcommand | | | attacked.telnet | Thetargetservergeneratesareversetelnetconnection |
| --- | --- |
| telnet.port | Theportnumberofthereversetelnetconnection | | 1 |
| Atomicpropositions | Meaning/definition |
| --- | --- |
| attacked.receive.http | ThetargethostreceivesthesameHTTPrequest |
| p | theHTTPrequestcontains“n”andhexadecimal0x0a\ |
| attacked.xterm | ThetargetserverexecutesanXtermcommand | | | Atomicpropositions | Meaning/definition |
| --- | --- |
| literal.value | Thevalueofthereceived“literal” |
| f | Thetargethostcompletetheoperation |
| g | Thetargethostallocatesmemoryspace |
| p | Thetargethosthasamemoryerror | | 0 |
| Atomicpropositions | Meaning/definition |
| --- | --- |
| attacked.receive.http | ThetargethostreceivesthesameHTTPrequest |
| p | theHTTPrequestcontains“n”andhexadecimal0x0a\ |
| attacked.xterm | ThetargetserverexecutesanXtermcommand | | | attacked.telnet | Thetargetservergeneratesareversetelnetconnection |
| --- | --- |
| telnet.port | Theportnumberofthereversetelnetconnection | | 1 |
| Atomicpropositions | Meaning/definition |
| --- | --- |
| attacked.receive.http | ThetargethostreceivesthesameHTTPrequest |
| p | theHTTPrequestcontains“n”andhexadecimal0x0a\ |
| attacked.xterm | ThetargetserverexecutesanXtermcommand | | | g | Thetargethostallocatesmemoryspace |
| --- | --- |
| p | Thetargethosthasamemoryerror | | 0 |
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames |
| π | 1in5 | Commoninmath | | | $ | 4in5 | Usedinbusiness |
| --- | --- | --- |
| Ψ | 1in40,000 | Unexplainedusage | | 1 |
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames |
| π | 1in5 | Commoninmath | | | Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames |
| π | 1in5 | Commoninmath |
| $ | 4in5 | Usedinbusiness |
| Ψ | 1in40,000 | Unexplainedusage | | 0 |
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames | | | π | 1in5 | Commoninmath |
| --- | --- | --- |
| $ | 4in5 | Usedinbusiness |
| Ψ | 1in40,000 | Unexplainedusage | | 1 |
| Non-EnglishorMath | Frequency | Comments |
| --- | --- | --- |
| Ø | 1in1,000 | ForSwedishnames | | | π | 1in5 | Commoninmath |
| --- | --- | --- |
| $ | 4in5 | Usedinbusiness |
| Ψ | 1in40,000 | Unexplainedusage | | 0 |
| | 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 | 3.79 | 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 | | 1 |
| | 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 | | | | 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 |
| | 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 | 3.79 | 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 | | 1 |
| | 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 | 3.79 | 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 | | | 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 |
| Number | Products | Constraint |
| --- | --- | --- |
| 1 | shoppingbags | Musteitherbeintheentrance-orcountersection | | | 2 | wholemilk,rolls/buns,tropicalfruit | Cannotbeinthesamesection |
| --- | --- | --- |
| 3 | whitewine,specialtychocolate | Mustbeinthesamesection |
| 4 | yogurt | Hastobeinthecoolersection |
| 5 | tropicalfruit | Cannotbeinthecoolersection | | 1 |
| Number | Products | Constraint |
| --- | --- | --- |
| 1 | shoppingbags | Musteitherbeintheentrance-orcountersection | | | reference | quantity |
| --- | --- |
| T-shirt | 5 |
| Jeans | 10 |
| Soda | 2 |
| Friedpotatoes | 1 |
| Water | 12 | | 0 |
| Number | Products | Constraint |
| --- | --- | --- |
| 1 | shoppingbags | Musteitherbeintheentrance-orcountersection |
| 2 | wholemilk,rolls/buns,tropicalfruit | Cannotbeinthesamesection | | | 3 | whitewine,specialtychocolate | Mustbeinthesamesection |
| --- | --- | --- |
| 4 | yogurt | Hastobeinthecoolersection |
| 5 | tropicalfruit | Cannotbeinthecoolersection | | 1 |
| Number | Products | Constraint |
| --- | --- | --- |
| 1 | shoppingbags | Musteitherbeintheentrance-orcountersection |
| 2 | wholemilk,rolls/buns,tropicalfruit | Cannotbeinthesamesection | | | Jeans | 10 |
| --- | --- |
| Soda | 2 |
| Friedpotatoes | 1 |
| Water | 12 | | 0 |
| | Stochastic | Rush | RTMM | RRTMM |
| --- | --- | --- | --- | --- |
| Stochastic | 10-0-10 | 20-0-0 | 20-0-0 | 20-0-0 | | | Rush | 0-0-20 | 0-20-0 | 16-4-0 | 19-1-0 |
| --- | --- | --- | --- | --- |
| RTMM | 0-0-20 | 0-4-16 | 0-20-0 | 0-20-0 |
| RRTMM | 0-0-20 | 0-1-19 | 0-20-0 | 0-20-0 |
| total | 10-0-70 | 20-25-35 | 36-44-0 | 39-41-0 | | 1 |
| | Stochastic | Rush | RTMM | RRTMM |
| --- | --- | --- | --- | --- |
| Stochastic | 10-0-10 | 20-0-0 | 20-0-0 | 20-0-0 | | | | DSTC2 | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| B-1 | B-2 | B-3 | B-4 | M | RL | B-1 | B-2 | B-3 | B-4 | M | |
| Gold | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
| Random | 0.875 | 0.843 | 0.822 | 0.807 | 0.564 | 0.852 | 0.872 | 0.813 | 0.765 | 0.721 | 0.504 |
| LSTM | 0.900 | 0.879 | 0.863 | 0.851 | 0.610 | 0.888 | 0.982 | 0.966 | 0.949 | 0.932 | 0.652 |
| d-scLSTM | 0.880 | 0.850 | 0.828 | 0.812 | 0.578 | 0.874 | 0.980 | 0.964 | 0.948 | 0.931 | 0.654 |
| hld-scLSTM | 0.909 | 0.890 | 0.878 | 0.870 | 0.624 | 0.899 | 0.985 | 0.978 | 0.970 | 0.962 | 0.704 | | 0 |
| | Stochastic | Rush | RTMM | RRTMM |
| --- | --- | --- | --- | --- |
| Stochastic | 10-0-10 | 20-0-0 | 20-0-0 | 20-0-0 |
| Rush | 0-0-20 | 0-20-0 | 16-4-0 | 19-1-0 |
| RTMM | 0-0-20 | 0-4-16 | 0-20-0 | 0-20-0 | | | RRTMM | 0-0-20 | 0-1-19 | 0-20-0 | 0-20-0 |
| --- | --- | --- | --- | --- |
| total | 10-0-70 | 20-25-35 | 36-44-0 | 39-41-0 | | 1 |
| | Stochastic | Rush | RTMM | RRTMM |
| --- | --- | --- | --- | --- |
| Stochastic | 10-0-10 | 20-0-0 | 20-0-0 | 20-0-0 |
| Rush | 0-0-20 | 0-20-0 | 16-4-0 | 19-1-0 |
| RTMM | 0-0-20 | 0-4-16 | 0-20-0 | 0-20-0 | | | Random | 0.875 | 0.843 | 0.822 | 0.807 | 0.564 | 0.852 | 0.872 | 0.813 | 0.765 | 0.721 | 0.504 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| LSTM | 0.900 | 0.879 | 0.863 | 0.851 | 0.610 | 0.888 | 0.982 | 0.966 | 0.949 | 0.932 | 0.652 |
| d-scLSTM | 0.880 | 0.850 | 0.828 | 0.812 | 0.578 | 0.874 | 0.980 | 0.964 | 0.948 | 0.931 | 0.654 |
| hld-scLSTM | 0.909 | 0.890 | 0.878 | 0.870 | 0.624 | 0.899 | 0.985 | 0.978 | 0.970 | 0.962 | 0.704 | | 0 |
| Sh. | Jon. | Fle. | Mid. | Cha. | Marl. | |
| --- | --- | --- | --- | --- | --- | --- |
| Sh. | 19.1 | 19.2 | 17.9 | 19.0 | 19.1 | 19.3 |
| Jon. | 19.2 | 20.0 | 18.4 | 19.5 | 19.3 | 19.3 |
| Fle. | 17.9 | 18.4 | 18.2 | 18.4 | 18.2 | 18.1 |
| Mid. | 19.0 | 19.5 | 18.4 | 20.2 | 19.4 | 18.9 | | | Cha. | 19.1 | 19.3 | 18.2 | 19.4 | 19.5 | 19.4 |
| --- | --- | --- | --- | --- | --- | --- |
| Marl. | 19.3 | 19.3 | 18.1 | 18.9 | 19.4 | 20.9 | | 1 |
| Sh. | Jon. | Fle. | Mid. | Cha. | Marl. | |
| --- | --- | --- | --- | --- | --- | --- |
| Sh. | 19.1 | 19.2 | 17.9 | 19.0 | 19.1 | 19.3 |
| Jon. | 19.2 | 20.0 | 18.4 | 19.5 | 19.3 | 19.3 |
| Fle. | 17.9 | 18.4 | 18.2 | 18.4 | 18.2 | 18.1 |
| Mid. | 19.0 | 19.5 | 18.4 | 20.2 | 19.4 | 18.9 | | | Sh. | Jon. | Fle. | Mid. | Cha. | Marl. | |
| --- | --- | --- | --- | --- | --- | --- |
| Sh. | 17.6 | 16.8 | 17.3 | 16.7 | 17.1 | 18.2 |
| Jon. | 16.8 | 16.8 | 17.0 | 16.5 | 16.7 | 17.3 |
| Fle. | 17.3 | 17.0 | 18.7 | 17.6 | 17.4 | 17.9 |
| Mid. | 16.7 | 16.5 | 17.6 | 17.6 | 16.9 | 17.1 |
| Cha. | 17.1 | 16.7 | 17.4 | 16.9 | 17.5 | 17.8 |
| Marl. | 17.4 | 17.1 | 17.6 | 17.3 | 17.4 | 18.1 | | 0 |
| Sh. | Jon. | Fle. | Mid. | Cha. | Marl. | |
| --- | --- | --- | --- | --- | --- | --- |
| Sh. | 19.1 | 19.2 | 17.9 | 19.0 | 19.1 | 19.3 | | | Jon. | 19.2 | 20.0 | 18.4 | 19.5 | 19.3 | 19.3 |
| --- | --- | --- | --- | --- | --- | --- |
| Fle. | 17.9 | 18.4 | 18.2 | 18.4 | 18.2 | 18.1 |
| Mid. | 19.0 | 19.5 | 18.4 | 20.2 | 19.4 | 18.9 |
| Cha. | 19.1 | 19.3 | 18.2 | 19.4 | 19.5 | 19.4 |
| Marl. | 19.3 | 19.3 | 18.1 | 18.9 | 19.4 | 20.9 | | 1 |
| Sh. | Jon. | Fle. | Mid. | Cha. | Marl. | |
| --- | --- | --- | --- | --- | --- | --- |
| Sh. | 19.1 | 19.2 | 17.9 | 19.0 | 19.1 | 19.3 | | | Mid. | 16.7 | 16.5 | 17.6 | 17.6 | 16.9 | 17.1 |
| --- | --- | --- | --- | --- | --- | --- |
| Cha. | 17.1 | 16.7 | 17.4 | 16.9 | 17.5 | 17.8 |
| Marl. | 17.4 | 17.1 | 17.6 | 17.3 | 17.4 | 18.1 | | 0 |
| | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Image# | CBM3D | MLP | TNRD | NI | NC | WNNM-1 | WNNM-2 | WNNM-3 |
| 1 | 25.24 | 25.70 | 25.74 | 23.85 | 24.90 | 26.01 | 25.95 | 25.58 |
| 2 | 28.27 | 30.12 | 30.21 | 25.90 | 25.87 | 30.08 | 30.11 | 29.80 |
| 3 | 28.81 | 31.19 | 31.49 | 26.00 | 28.58 | 31.58 | 31.61 | 31.20 |
| 4 | 27.95 | 29.88 | 29.86 | 25.82 | 25.67 | 30.13 | 30.16 | 29.84 |
| 5 | 25.03 | 26.00 | 26.18 | 24.38 | 25.15 | 26.44 | 26.39 | 25.32 | | | 6 | 26.24 | 26.84 | 26.90 | 24.65 | 24.74 | 27.39 | 27.30 | 26.88 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 7 | 27.88 | 30.28 | 30.40 | 25.63 | 27.69 | 30.47 | 30.54 | 29.70 |
| 8 | 25.05 | 25.59 | 25.83 | 24.02 | 25.30 | 26.71 | 26.75 | 25.26 |
| 9 | 28.44 | 30.75 | 30.81 | 25.94 | 27.44 | 30.86 | 30.92 | 30.29 |
| 10 | 28.27 | 30.38 | 30.57 | 25.87 | 28.42 | 30.65 | 30.68 | 29.95 |
| 11 | 26.95 | 28.00 | 28.14 | 25.32 | 24.67 | 28.19 | 28.16 | 27.61 |
| 12 | 28.76 | 30.87 | 31.05 | 26.01 | 28.37 | 30.97 | 31.06 | 30.58 |
| 13 | 23.76 | 23.95 | 23.99 | 23.53 | 22.76 | 24.27 | 24.15 | 23.52 |
| 14 | 26.02 | 26.97 | 27.11 | 24.94 | 25.68 | 27.20 | 27.15 | 26.55 |
| 15 | 28.38 | 30.15 | 30.44 | 26.06 | 28.21 | 30.52 | 30.60 | 30.13 |
| 16 | 27.75 | 28.82 | 28.87 | 25.69 | 26.66 | 29.27 | 29.21 | 29.02 |
| 17 | 27.90 | 29.57 | 29.80 | 25.85 | 28.32 | 29.78 | 29.79 | 29.16 |
| 18 | 25.77 | 26.40 | 26.41 | 24.74 | 25.70 | 26.63 | 26.56 | 26.01 |
| 19 | 27.30 | 28.67 | 28.81 | 25.40 | 26.52 | 29.19 | 29.22 | 28.67 |
| 20 | 28.96 | 30.40 | 30.76 | 24.95 | 25.90 | 30.79 | 30.83 | 29.97 |
| 21 | 26.54 | 27.53 | 27.60 | 25.06 | 26.48 | 27.80 | 27.75 | 27.12 |
| 22 | 27.05 | 28.17 | 28.27 | 25.36 | 26.60 | 28.21 | 28.16 | 27.81 |
| 23 | 29.14 | 32.31 | 32.51 | 26.13 | 23.24 | 31.89 | 31.97 | 31.21 |
| 24 | 25.75 | 26.41 | 26.53 | 24.55 | 25.73 | 27.10 | 27.03 | 26.18 |
| Average | 27.13 | 28.54 | 28.68 | 25.24 | 26.19 | 28.84 | 28.83 | 28.22 | | 1 |
| | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Image# | CBM3D | MLP | TNRD | NI | NC | WNNM-1 | WNNM-2 | WNNM-3 |
| 1 | 25.24 | 25.70 | 25.74 | 23.85 | 24.90 | 26.01 | 25.95 | 25.58 |
| 2 | 28.27 | 30.12 | 30.21 | 25.90 | 25.87 | 30.08 | 30.11 | 29.80 |
| 3 | 28.81 | 31.19 | 31.49 | 26.00 | 28.58 | 31.58 | 31.61 | 31.20 |
| 4 | 27.95 | 29.88 | 29.86 | 25.82 | 25.67 | 30.13 | 30.16 | 29.84 |
| 5 | 25.03 | 26.00 | 26.18 | 24.38 | 25.15 | 26.44 | 26.39 | 25.32 | | | | Gradual | Sharp | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |
| 203CNN | 171 | 134 | 44 | 37 | 0.753 | 0.784 | 0.768 | 280 | 228 | 13 | 52 | 0.946 |
| 222CNN | 101 | 74 | 5 | 27 | 0.937 | 0.733 | 0.822 | 309 | 273 | 11 | 36 | 0.961 |
| 224ABC | 131 | 108 | 10 | 23 | 0.915 | 0.824 | 0.867 | 296 | 281 | 13 | 15 | 0.956 |
| 412ABC | 137 | 115 | 6 | 22 | 0.95 | 0.839 | 0.891 | 345 | 323 | 17 | 22 | 0.95 |
| 425ABC | 180 | 161 | 12 | 19 | 0.931 | 0.894 | 0.912 | 295 | 266 | 11 | 29 | 0.96 |
| 515CNN | 131 | 89 | 11 | 42 | 0.89 | 0.679 | 0.771 | 283 | 265 | 17 | 18 | 0.94 |
| 531CNN | 108 | 75 | 12 | 33 | 0.862 | 0.694 | 0.769 | 359 | 316 | 13 | 43 | 0.96 |
| 619ABC | 127 | 46 | 125 | 81 | 0.269 | 0.362 | 0.309 | 321 | 154 | 155 | 167 | 0.498 |
| Total | 1086 | 802 | 225 | 284 | 0.781 | 0.738 | 0.759 | 2488 | 2106 | 250 | 382 | 0.894 | | 0 |
| | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Image# | CBM3D | MLP | TNRD | NI | NC | WNNM-1 | WNNM-2 | WNNM-3 |
| 1 | 25.24 | 25.70 | 25.74 | 23.85 | 24.90 | 26.01 | 25.95 | 25.58 |
| 2 | 28.27 | 30.12 | 30.21 | 25.90 | 25.87 | 30.08 | 30.11 | 29.80 |
| 3 | 28.81 | 31.19 | 31.49 | 26.00 | 28.58 | 31.58 | 31.61 | 31.20 |
| 4 | 27.95 | 29.88 | 29.86 | 25.82 | 25.67 | 30.13 | 30.16 | 29.84 |
| 5 | 25.03 | 26.00 | 26.18 | 24.38 | 25.15 | 26.44 | 26.39 | 25.32 |
| 6 | 26.24 | 26.84 | 26.90 | 24.65 | 24.74 | 27.39 | 27.30 | 26.88 |
| 7 | 27.88 | 30.28 | 30.40 | 25.63 | 27.69 | 30.47 | 30.54 | 29.70 |
| 8 | 25.05 | 25.59 | 25.83 | 24.02 | 25.30 | 26.71 | 26.75 | 25.26 |
| 9 | 28.44 | 30.75 | 30.81 | 25.94 | 27.44 | 30.86 | 30.92 | 30.29 |
| 10 | 28.27 | 30.38 | 30.57 | 25.87 | 28.42 | 30.65 | 30.68 | 29.95 |
| 11 | 26.95 | 28.00 | 28.14 | 25.32 | 24.67 | 28.19 | 28.16 | 27.61 |
| 12 | 28.76 | 30.87 | 31.05 | 26.01 | 28.37 | 30.97 | 31.06 | 30.58 |
| 13 | 23.76 | 23.95 | 23.99 | 23.53 | 22.76 | 24.27 | 24.15 | 23.52 |
| 14 | 26.02 | 26.97 | 27.11 | 24.94 | 25.68 | 27.20 | 27.15 | 26.55 |
| 15 | 28.38 | 30.15 | 30.44 | 26.06 | 28.21 | 30.52 | 30.60 | 30.13 |
| 16 | 27.75 | 28.82 | 28.87 | 25.69 | 26.66 | 29.27 | 29.21 | 29.02 |
| 17 | 27.90 | 29.57 | 29.80 | 25.85 | 28.32 | 29.78 | 29.79 | 29.16 |
| 18 | 25.77 | 26.40 | 26.41 | 24.74 | 25.70 | 26.63 | 26.56 | 26.01 | | | 19 | 27.30 | 28.67 | 28.81 | 25.40 | 26.52 | 29.19 | 29.22 | 28.67 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 20 | 28.96 | 30.40 | 30.76 | 24.95 | 25.90 | 30.79 | 30.83 | 29.97 |
| 21 | 26.54 | 27.53 | 27.60 | 25.06 | 26.48 | 27.80 | 27.75 | 27.12 |
| 22 | 27.05 | 28.17 | 28.27 | 25.36 | 26.60 | 28.21 | 28.16 | 27.81 |
| 23 | 29.14 | 32.31 | 32.51 | 26.13 | 23.24 | 31.89 | 31.97 | 31.21 |
| 24 | 25.75 | 26.41 | 26.53 | 24.55 | 25.73 | 27.10 | 27.03 | 26.18 |
| Average | 27.13 | 28.54 | 28.68 | 25.24 | 26.19 | 28.84 | 28.83 | 28.22 | | 1 |
| | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Image# | CBM3D | MLP | TNRD | NI | NC | WNNM-1 | WNNM-2 | WNNM-3 |
| 1 | 25.24 | 25.70 | 25.74 | 23.85 | 24.90 | 26.01 | 25.95 | 25.58 |
| 2 | 28.27 | 30.12 | 30.21 | 25.90 | 25.87 | 30.08 | 30.11 | 29.80 |
| 3 | 28.81 | 31.19 | 31.49 | 26.00 | 28.58 | 31.58 | 31.61 | 31.20 |
| 4 | 27.95 | 29.88 | 29.86 | 25.82 | 25.67 | 30.13 | 30.16 | 29.84 |
| 5 | 25.03 | 26.00 | 26.18 | 24.38 | 25.15 | 26.44 | 26.39 | 25.32 |
| 6 | 26.24 | 26.84 | 26.90 | 24.65 | 24.74 | 27.39 | 27.30 | 26.88 |
| 7 | 27.88 | 30.28 | 30.40 | 25.63 | 27.69 | 30.47 | 30.54 | 29.70 |
| 8 | 25.05 | 25.59 | 25.83 | 24.02 | 25.30 | 26.71 | 26.75 | 25.26 |
| 9 | 28.44 | 30.75 | 30.81 | 25.94 | 27.44 | 30.86 | 30.92 | 30.29 |
| 10 | 28.27 | 30.38 | 30.57 | 25.87 | 28.42 | 30.65 | 30.68 | 29.95 |
| 11 | 26.95 | 28.00 | 28.14 | 25.32 | 24.67 | 28.19 | 28.16 | 27.61 |
| 12 | 28.76 | 30.87 | 31.05 | 26.01 | 28.37 | 30.97 | 31.06 | 30.58 |
| 13 | 23.76 | 23.95 | 23.99 | 23.53 | 22.76 | 24.27 | 24.15 | 23.52 |
| 14 | 26.02 | 26.97 | 27.11 | 24.94 | 25.68 | 27.20 | 27.15 | 26.55 |
| 15 | 28.38 | 30.15 | 30.44 | 26.06 | 28.21 | 30.52 | 30.60 | 30.13 |
| 16 | 27.75 | 28.82 | 28.87 | 25.69 | 26.66 | 29.27 | 29.21 | 29.02 |
| 17 | 27.90 | 29.57 | 29.80 | 25.85 | 28.32 | 29.78 | 29.79 | 29.16 |
| 18 | 25.77 | 26.40 | 26.41 | 24.74 | 25.70 | 26.63 | 26.56 | 26.01 | | | 412ABC | 137 | 115 | 6 | 22 | 0.95 | 0.839 | 0.891 | 345 | 323 | 17 | 22 | 0.95 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 425ABC | 180 | 161 | 12 | 19 | 0.931 | 0.894 | 0.912 | 295 | 266 | 11 | 29 | 0.96 |
| 515CNN | 131 | 89 | 11 | 42 | 0.89 | 0.679 | 0.771 | 283 | 265 | 17 | 18 | 0.94 |
| 531CNN | 108 | 75 | 12 | 33 | 0.862 | 0.694 | 0.769 | 359 | 316 | 13 | 43 | 0.96 |
| 619ABC | 127 | 46 | 125 | 81 | 0.269 | 0.362 | 0.309 | 321 | 154 | 155 | 167 | 0.498 |
| Total | 1086 | 802 | 225 | 284 | 0.781 | 0.738 | 0.759 | 2488 | 2106 | 250 | 382 | 0.894 | | 0 |
| -classe1800(attendus=169,ramenes=77.00,corrects=3.00)<br>rappel=0.018precision=0.039f-mesure=0.024 |
| --- |
| -classe1810(attendus=169,ramenes=91.00,corrects=19.00)<br>rappel=0.112precision=0.209f-mesure=0.146 |
| -classe1820(attendus=169,ramenes=226.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |
| -classe1830(attendus=169,ramenes=525.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |
| -classe1840(attendus=169,ramenes=85.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |
| -classe1850(attendus=169,ramenes=143.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |
| -classe1860(attendus=170,ramenes=96.00,corrects=6.00)<br>rappel=0.035precision=0.062f-mesure=0.045 |
| -classe1870(attendus=169,ramenes=87.00,corrects=9.00)<br>rappel=0.053precision=0.103f-mesure=0.070 |
| -classe1880(attendus=169,ramenes=149.00,corrects=14.00)<br>rappel=0.083precision=0.094f-mesure=0.088 |
| -classe1890(attendus=197,ramenes=108.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |
| -classe1900(attendus=203,ramenes=320.00,corrects=24.00)<br>rappel=0.118precision=0.075f-mesure=0.092 | | | -classe1910(attendus=201,ramenes=86.00,corrects=4.00)<br>rappel=0.020precision=0.047f-mesure=0.028 |
| --- |
| -classe1920(attendus=200,ramenes=169.00,corrects=13.00)<br>rappel=0.065precision=0.077f-mesure=0.070 |
| -classe1930(attendus=200,ramenes=104.00,corrects=10.00)<br>rappel=0.050precision=0.096f-mesure=0.066 |
| -classe1940(attendus=198,ramenes=455.00,corrects=62.00)<br>rappel=0.313precision=0.136f-mesure=0.190 |
| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.094 | | 1 |
| -classe1800(attendus=169,ramenes=77.00,corrects=3.00)<br>rappel=0.018precision=0.039f-mesure=0.024 |
| --- |
| -classe1810(attendus=169,ramenes=91.00,corrects=19.00)<br>rappel=0.112precision=0.209f-mesure=0.146 |
| -classe1820(attendus=169,ramenes=226.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |
| -classe1830(attendus=169,ramenes=525.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |
| -classe1840(attendus=169,ramenes=85.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |
| -classe1850(attendus=169,ramenes=143.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |
| -classe1860(attendus=170,ramenes=96.00,corrects=6.00)<br>rappel=0.035precision=0.062f-mesure=0.045 |
| -classe1870(attendus=169,ramenes=87.00,corrects=9.00)<br>rappel=0.053precision=0.103f-mesure=0.070 |
| -classe1880(attendus=169,ramenes=149.00,corrects=14.00)<br>rappel=0.083precision=0.094f-mesure=0.088 |
| -classe1890(attendus=197,ramenes=108.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |
| -classe1900(attendus=203,ramenes=320.00,corrects=24.00)<br>rappel=0.118precision=0.075f-mesure=0.092 | | | -classe1800(attendus=169,ramenes=78.00,corrects=3.00)<br>rappel=0.018precision=0.038f-mesure=0.024 |
| --- |
| -classe1810(attendus=169,ramenes=93.00,corrects=19.00)<br>rappel=0.112precision=0.204f-mesure=0.145 |
| -classe1820(attendus=169,ramenes=225.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |
| -classe1830(attendus=169,ramenes=525.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |
| -classe1840(attendus=169,ramenes=84.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |
| -classe1850(attendus=169,ramenes=142.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |
| -classe1860(attendus=170,ramenes=95.00,corrects=6.00)<br>rappel=0.035precision=0.063f-mesure=0.045 |
| -classe1870(attendus=169,ramenes=89.00,corrects=9.00)<br>rappel=0.053precision=0.101f-mesure=0.070 |
| -classe1880(attendus=169,ramenes=148.00,corrects=14.00)<br>rappel=0.083precision=0.095f-mesure=0.088 |
| -classe1890(attendus=197,ramenes=108.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |
| -classe1900(attendus=203,ramenes=319.00,corrects=23.00)<br>rappel=0.113precision=0.072f-mesure=0.088 |
| -classe1910(attendus=201,ramenes=89.00,corrects=5.00)<br>rappel=0.025precision=0.056f-mesure=0.034 |
| -classe1920(attendus=200,ramenes=166.00,corrects=13.00)<br>rappel=0.065precision=0.078f-mesure=0.071 |
| -classe1930(attendus=200,ramenes=101.00,corrects=10.00)<br>rappel=0.050precision=0.099f-mesure=0.066 |
| -classe1940(attendus=198,ramenes=459.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |
| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 | | 0 |
| -classe1800(attendus=169,ramenes=77.00,corrects=3.00)<br>rappel=0.018precision=0.039f-mesure=0.024 |
| --- |
| -classe1810(attendus=169,ramenes=91.00,corrects=19.00)<br>rappel=0.112precision=0.209f-mesure=0.146 |
| -classe1820(attendus=169,ramenes=226.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |
| -classe1830(attendus=169,ramenes=525.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |
| -classe1840(attendus=169,ramenes=85.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |
| -classe1850(attendus=169,ramenes=143.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |
| -classe1860(attendus=170,ramenes=96.00,corrects=6.00)<br>rappel=0.035precision=0.062f-mesure=0.045 |
| -classe1870(attendus=169,ramenes=87.00,corrects=9.00)<br>rappel=0.053precision=0.103f-mesure=0.070 | | | -classe1880(attendus=169,ramenes=149.00,corrects=14.00)<br>rappel=0.083precision=0.094f-mesure=0.088 |
| --- |
| -classe1890(attendus=197,ramenes=108.00,corrects=10.00)<br>rappel=0.051precision=0.093f-mesure=0.066 |
| -classe1900(attendus=203,ramenes=320.00,corrects=24.00)<br>rappel=0.118precision=0.075f-mesure=0.092 |
| -classe1910(attendus=201,ramenes=86.00,corrects=4.00)<br>rappel=0.020precision=0.047f-mesure=0.028 |
| -classe1920(attendus=200,ramenes=169.00,corrects=13.00)<br>rappel=0.065precision=0.077f-mesure=0.070 |
| -classe1930(attendus=200,ramenes=104.00,corrects=10.00)<br>rappel=0.050precision=0.096f-mesure=0.066 |
| -classe1940(attendus=198,ramenes=455.00,corrects=62.00)<br>rappel=0.313precision=0.136f-mesure=0.190 |
| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.094 | | 1 |
| -classe1800(attendus=169,ramenes=77.00,corrects=3.00)<br>rappel=0.018precision=0.039f-mesure=0.024 |
| --- |
| -classe1810(attendus=169,ramenes=91.00,corrects=19.00)<br>rappel=0.112precision=0.209f-mesure=0.146 |
| -classe1820(attendus=169,ramenes=226.00,corrects=28.00)<br>rappel=0.166precision=0.124f-mesure=0.142 |
| -classe1830(attendus=169,ramenes=525.00,corrects=49.00)<br>rappel=0.290precision=0.093f-mesure=0.141 |
| -classe1840(attendus=169,ramenes=85.00,corrects=6.00)<br>rappel=0.036precision=0.071f-mesure=0.047 |
| -classe1850(attendus=169,ramenes=143.00,corrects=8.00)<br>rappel=0.047precision=0.056f-mesure=0.051 |
| -classe1860(attendus=170,ramenes=96.00,corrects=6.00)<br>rappel=0.035precision=0.062f-mesure=0.045 |
| -classe1870(attendus=169,ramenes=87.00,corrects=9.00)<br>rappel=0.053precision=0.103f-mesure=0.070 | | | -classe1920(attendus=200,ramenes=166.00,corrects=13.00)<br>rappel=0.065precision=0.078f-mesure=0.071 |
| --- |
| -classe1930(attendus=200,ramenes=101.00,corrects=10.00)<br>rappel=0.050precision=0.099f-mesure=0.066 |
| -classe1940(attendus=198,ramenes=459.00,corrects=62.00)<br>rappel=0.313precision=0.135f-mesure=0.189 |
| -surl’ensembledes15classes<br>macrorappel=0.097macroprecision=0.092macroF-mesure=0.095 | | 0 |
| Combinationofpolynomialsandterms | Avg.RMSE |
| --- | --- |
| R,G,B,RG,GB,BR | 0.019 |
| R,G,B,R,G,B | 0.018 |
| R,G,B,R,G,B | 0.019 |
| R,G,B,RG,GB,BR | 0.02 |
| R,G,B,RG,GB,BR,RGB | 0.018 | | | R,G,B,RG,BG,BR,RG,GB,BR | 0.018 |
| --- | --- |
| R,G,B,RG,BG,RB,R,G,B,RG,GB,BR | 0.017 |
| R,G,B,RG,BG,RB,R,G,B,RG,GB,BR | 0.017 | | 1 |
| Combinationofpolynomialsandterms | Avg.RMSE |
| --- | --- |
| R,G,B,RG,GB,BR | 0.019 |
| R,G,B,R,G,B | 0.018 |
| R,G,B,R,G,B | 0.019 |
| R,G,B,RG,GB,BR | 0.02 |
| R,G,B,RG,GB,BR,RGB | 0.018 | | | PNMM | | | | |
| --- | --- | --- | --- | --- |
| 5Endmembers | 8Endmembers | | | |
| Alg.(N)b | RMSE | RET(BS+HU) | RMSE | RET(BS+HU) |
| FCLS | 0.1966 | 1 | 0.1521 | 1 |
| SK-Hype | 0.1127 | 3744.9 | 0.0765 | 3672.2 |
| SK-Hype(10) | 0.1131 | 21.7(24.3) | 0.0827 | 21.5(24.4) |
| SK-Hype(100) | 0.1140 | 153.4(184.2) | 0.0771 | 140.3(170.8) |
| SK-Hype(300) | 0.1129 | 1764.3(1907.5) | 0.0765 | 1601.0(1743.7) |
| | GBM | | | |
| | 5Endmembers | 8Endmembers | | |
| FCLS | 0.0527 | 1 | 0.0390 | 1 |
| SK-Hype | 0.1090 | 3432.5 | 0.0745 | 3825.1 |
| SK-Hype(10) | 0.1053 | 20.8(23.6) | 0.0730 | 20.9(23.0) |
| SK-Hype(100) | 0.1105 | 142.2(171.5) | 0.0748 | 142.9(173.8) |
| SK-Hype(300) | 0.1093 | 1612.8(1735.2) | 0.0745 | 1637.8(1778.1) | | 0 |
| Combinationofpolynomialsandterms | Avg.RMSE |
| --- | --- |
| R,G,B,RG,GB,BR | 0.019 |
| R,G,B,R,G,B | 0.018 |
| R,G,B,R,G,B | 0.019 | | | R,G,B,RG,GB,BR | 0.02 |
| --- | --- |
| R,G,B,RG,GB,BR,RGB | 0.018 |
| R,G,B,RG,BG,BR,RG,GB,BR | 0.018 |
| R,G,B,RG,BG,RB,R,G,B,RG,GB,BR | 0.017 |
| R,G,B,RG,BG,RB,R,G,B,RG,GB,BR | 0.017 | | 1 |
| Combinationofpolynomialsandterms | Avg.RMSE |
| --- | --- |
| R,G,B,RG,GB,BR | 0.019 |
| R,G,B,R,G,B | 0.018 |
| R,G,B,R,G,B | 0.019 | | | | GBM | | | |
| --- | --- | --- | --- | --- |
| | 5Endmembers | 8Endmembers | | |
| FCLS | 0.0527 | 1 | 0.0390 | 1 |
| SK-Hype | 0.1090 | 3432.5 | 0.0745 | 3825.1 |
| SK-Hype(10) | 0.1053 | 20.8(23.6) | 0.0730 | 20.9(23.0) |
| SK-Hype(100) | 0.1105 | 142.2(171.5) | 0.0748 | 142.9(173.8) |
| SK-Hype(300) | 0.1093 | 1612.8(1735.2) | 0.0745 | 1637.8(1778.1) | | 0 |
| TrainingData | TestData | |
| --- | --- | --- |
| ILSVRC2012Val | WebVisionVal | |
| 1K<br>D<br>ImageNet | 56.15 | 52.58 | | | WebVision | 47.55 | 57.03 |
| --- | --- | --- |
| E<br>VT | 51.99 | 53.94 |
| 1K<br>*D<br>ImageNet | 60.36 | 54.99 |
| E* | 56.58 | 57.98 | | 1 |
| TrainingData | TestData | |
| --- | --- | --- |
| ILSVRC2012Val | WebVisionVal | |
| 1K<br>D<br>ImageNet | 56.15 | 52.58 | | | Domain | TrainingData | | |
| --- | --- | --- | --- |
| DImageNet | EVT | E∪DVTImageNet | |
| Dog | 65.80 | 67.56 | 70.22 |
| Bird | 82.00 | 86.24 | 86.41 |
| Wheeled | 68.95 | 72.20 | 74.59 |
| Structure | 66.07 | 69.90 | 72.41 | | 0 |
| TrainingData | TestData |
| --- | --- |
| ILSVRC2012Val | WebVisionVal | | | 1K<br>D<br>ImageNet | 56.15 | 52.58 |
| --- | --- | --- |
| WebVision | 47.55 | 57.03 |
| E<br>VT | 51.99 | 53.94 |
| 1K<br>*D<br>ImageNet | 60.36 | 54.99 |
| E* | 56.58 | 57.98 | | 1 |
| TrainingData | TestData |
| --- | --- |
| ILSVRC2012Val | WebVisionVal | | | Wheeled | 68.95 | 72.20 | 74.59 |
| --- | --- | --- | --- |
| Structure | 66.07 | 69.90 | 72.41 | | 0 |
| property | \|[[property]]\|T | #machines | time(s) |
| --- | --- | --- | --- |
| EX[B] | 1.153×10 | 1 | 660 |
| EX[B] | 1.153×10 | 2 | 532 |
| EX[B] | 1.153×10 | 4 | 241 |
| EX[B] | 1.153×10 | 8 | 144 |
| EX[B] | 1.153×10 | 16 | 120 |
| EG[B] | 6<br>7.405×10 | 1 | 1567 |
| EG[B] | 7.405×10 | 2 | 1356 |
| EG[B] | 7.405×10 | 4 | 517 |
| EG[B] | 7.405×10 | 8 | 391 |
| EG[B] | 7.405×10 | 16 | 287 |
| E[CUD] | 6<br>5.767×10 | 1 | 1357 |
| E[CUD] | 5.767×10 | 2 | 1063 | | | E[CUD] | 5.767×10 | 4 | 585 |
| --- | --- | --- | --- |
| E[CUD] | 5.767×10 | 8 | 454 |
| E[CUD] | 5.767×10 | 16 | 372 | | 1 |
| property | \|[[property]]\|T | #machines | time(s) |
| --- | --- | --- | --- |
| EX[B] | 1.153×10 | 1 | 660 |
| EX[B] | 1.153×10 | 2 | 532 |
| EX[B] | 1.153×10 | 4 | 241 |
| EX[B] | 1.153×10 | 8 | 144 |
| EX[B] | 1.153×10 | 16 | 120 |
| EG[B] | 6<br>7.405×10 | 1 | 1567 |
| EG[B] | 7.405×10 | 2 | 1356 |
| EG[B] | 7.405×10 | 4 | 517 |
| EG[B] | 7.405×10 | 8 | 391 |
| EG[B] | 7.405×10 | 16 | 287 |
| E[CUD] | 6<br>5.767×10 | 1 | 1357 |
| E[CUD] | 5.767×10 | 2 | 1063 | | | property | \|[[property]]\|T | #machines | time(s) |
| --- | --- | --- | --- |
| EX[H] | 1.716×10 | 1 | 2908 |
| EX[H] | 1.716×10 | 2 | 2401 |
| EX[H] | 1.716×10 | 4 | 937 |
| EX[H] | 1.716×10 | 8 | 693 |
| EX[H] | 1.716×10 | 16 | 251 |
| EG[J] | 8<br>4.060×10 | 1 | 21678 |
| EG[J] | 4.060×10 | 2 | 17147 |
| EG[J] | 4.060×10 | 4 | 6525 |
| EG[J] | 4.060×10 | 8 | 2983 |
| EG[J] | 4.060×10 | 16 | 1226 |
| E[KUH] | 7<br>7.524×10 | 1 | 1821 |
| E[KUH] | 7.524×10 | 2 | 1714 |
| E[KUH] | 7.524×10 | 4 | 602 |
| E[KUH] | 7.524×10 | 8 | 377 |
| E[KUH] | 7.524×10 | 16 | 203 | | 0 |
| property | \|[[property]]\|T | #machines | time(s) |
| --- | --- | --- | --- |
| EX[B] | 1.153×10 | 1 | 660 |
| EX[B] | 1.153×10 | 2 | 532 |
| EX[B] | 1.153×10 | 4 | 241 |
| EX[B] | 1.153×10 | 8 | 144 |
| EX[B] | 1.153×10 | 16 | 120 |
| EG[B] | 6<br>7.405×10 | 1 | 1567 | | | EG[B] | 7.405×10 | 2 | 1356 |
| --- | --- | --- | --- |
| EG[B] | 7.405×10 | 4 | 517 |
| EG[B] | 7.405×10 | 8 | 391 |
| EG[B] | 7.405×10 | 16 | 287 |
| E[CUD] | 6<br>5.767×10 | 1 | 1357 |
| E[CUD] | 5.767×10 | 2 | 1063 |
| E[CUD] | 5.767×10 | 4 | 585 |
| E[CUD] | 5.767×10 | 8 | 454 |
| E[CUD] | 5.767×10 | 16 | 372 | | 1 |
| property | \|[[property]]\|T | #machines | time(s) |
| --- | --- | --- | --- |
| EX[B] | 1.153×10 | 1 | 660 |
| EX[B] | 1.153×10 | 2 | 532 |
| EX[B] | 1.153×10 | 4 | 241 |
| EX[B] | 1.153×10 | 8 | 144 |
| EX[B] | 1.153×10 | 16 | 120 |
| EG[B] | 6<br>7.405×10 | 1 | 1567 | | | EX[H] | 1.716×10 | 2 | 2401 |
| --- | --- | --- | --- |
| EX[H] | 1.716×10 | 4 | 937 |
| EX[H] | 1.716×10 | 8 | 693 |
| EX[H] | 1.716×10 | 16 | 251 |
| EG[J] | 8<br>4.060×10 | 1 | 21678 |
| EG[J] | 4.060×10 | 2 | 17147 |
| EG[J] | 4.060×10 | 4 | 6525 |
| EG[J] | 4.060×10 | 8 | 2983 |
| EG[J] | 4.060×10 | 16 | 1226 |
| E[KUH] | 7<br>7.524×10 | 1 | 1821 |
| E[KUH] | 7.524×10 | 2 | 1714 |
| E[KUH] | 7.524×10 | 4 | 602 |
| E[KUH] | 7.524×10 | 8 | 377 |
| E[KUH] | 7.524×10 | 16 | 203 | | 0 |
| # | Address | Source(s) |
| --- | --- | --- |
| 1 | 1EfuwPcYeCTes24X8CVGMUCR1H4yZ4CyoE | |
| 2 | 1EhJcMYwQKKWQcLFBjjYaMGTVncpQMJbbv | | | | 3 | 1Bj2z4j3weU1g9jwu4oHQQA6x8x2G2FRRm | |
| --- | --- | --- |
| 4 | 1MScgv8kvbVLwGbciuw44gvy23rocaNCc8 | |
| 5 | 1JXMiCkbrPiDWxoZ8oJ9yQZutHoaGQtXCF | |
| 6 | 12UrsknT8hqYGpi8NToS2GWCWaLKtR2UXn | |
| 7 | 1PAVxqYtWD1RBAjE5voSDnUSefGGUvCwpm | |
| 8 | 1N3qTaZsUqU2owUVjmijVyHB4uiid2JoXd | |
| 9 | 1PWLk2FP6r3FzKcqq9UgsYVZ9Ev6gufCsJ | |
| 10 | 1BLeMsrSLB8H1fDDLRhQbLHScoC58ncf4x | |
| 11 | 1A6GJMhpPhCcM557o62scEtuVXNAFe74fa | |
| 12 | 1BGDTqDZyD446Q71eGhdmWLzyCHVPZUJxv | | | 1 |
| # | Address | Source(s) |
| --- | --- | --- |
| 1 | 1EfuwPcYeCTes24X8CVGMUCR1H4yZ4CyoE | |
| 2 | 1EhJcMYwQKKWQcLFBjjYaMGTVncpQMJbbv | | | | # | Address | Source(s) |
| --- | --- | --- |
| 1 | 1MrKJhiECV3RufrY1dSybSXRCwSw11Co6i | |
| 2 | 1C8yA7wJuKD4D2giTEpUNcdd7UNExEJ45r | |
| 3 | 166vHLnGB1pCQGxdBkRiMkHW5WGQDbsw6s | |
| 4 | 1BA48s9Eeh77vwWiEgh5Vt29G3YJN1PRoR | |
| 5 | 18mfoGHSfe9h145e8djHK5rChDTnGfPDU9 | |
| 6 | 16hHkyuzCDRFzoejVuqajqrnbmKHSmEfQM | |
| 7 | 1382JAg5xbQv7QNwq1svDeyw6ELtNCmujG | |
| 8 | 1KXw7aJR4THWAxtnxZYzmysdLXVhLfa97n | | | 0 |
| # | Address | Source(s) |
| --- | --- | --- |
| 1 | 1EfuwPcYeCTes24X8CVGMUCR1H4yZ4CyoE | |
| 2 | 1EhJcMYwQKKWQcLFBjjYaMGTVncpQMJbbv | |
| 3 | 1Bj2z4j3weU1g9jwu4oHQQA6x8x2G2FRRm | |
| 4 | 1MScgv8kvbVLwGbciuw44gvy23rocaNCc8 | |
| 5 | 1JXMiCkbrPiDWxoZ8oJ9yQZutHoaGQtXCF | |
| 6 | 12UrsknT8hqYGpi8NToS2GWCWaLKtR2UXn | |
| 7 | 1PAVxqYtWD1RBAjE5voSDnUSefGGUvCwpm | | | | 8 | 1N3qTaZsUqU2owUVjmijVyHB4uiid2JoXd | |
| --- | --- | --- |
| 9 | 1PWLk2FP6r3FzKcqq9UgsYVZ9Ev6gufCsJ | |
| 10 | 1BLeMsrSLB8H1fDDLRhQbLHScoC58ncf4x | |
| 11 | 1A6GJMhpPhCcM557o62scEtuVXNAFe74fa | |
| 12 | 1BGDTqDZyD446Q71eGhdmWLzyCHVPZUJxv | | | 1 |
| # | Address | Source(s) |
| --- | --- | --- |
| 1 | 1EfuwPcYeCTes24X8CVGMUCR1H4yZ4CyoE | |
| 2 | 1EhJcMYwQKKWQcLFBjjYaMGTVncpQMJbbv | |
| 3 | 1Bj2z4j3weU1g9jwu4oHQQA6x8x2G2FRRm | |
| 4 | 1MScgv8kvbVLwGbciuw44gvy23rocaNCc8 | |
| 5 | 1JXMiCkbrPiDWxoZ8oJ9yQZutHoaGQtXCF | |
| 6 | 12UrsknT8hqYGpi8NToS2GWCWaLKtR2UXn | |
| 7 | 1PAVxqYtWD1RBAjE5voSDnUSefGGUvCwpm | | | | 3 | 166vHLnGB1pCQGxdBkRiMkHW5WGQDbsw6s | |
| --- | --- | --- |
| 4 | 1BA48s9Eeh77vwWiEgh5Vt29G3YJN1PRoR | |
| 5 | 18mfoGHSfe9h145e8djHK5rChDTnGfPDU9 | |
| 6 | 16hHkyuzCDRFzoejVuqajqrnbmKHSmEfQM | |
| 7 | 1382JAg5xbQv7QNwq1svDeyw6ELtNCmujG | |
| 8 | 1KXw7aJR4THWAxtnxZYzmysdLXVhLfa97n | | | 0 |
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