premise string | hypothesis string | label int64 |
|---|---|---|
| Quantity | TestingSet | CrossValidation |
| --- | --- | --- |
| 0.5k0.5k | 83 | 79.90 |
| 1k1k | 84 | 81.70 |
| 2k2k | 85.80 | 83.30 |
| 4k4k | 87.20 | 83.80 |
| 8k8k | 89.10 | 83.50 | | | 16k16k | 91.30 | 84.10 |
| --- | --- | --- |
| 32k32k | 92.50 | 86.10 | | 1 |
| Quantity | TestingSet | CrossValidation |
| --- | --- | --- |
| 0.5k0.5k | 83 | 79.90 |
| 1k1k | 84 | 81.70 |
| 2k2k | 85.80 | 83.30 |
| 4k4k | 87.20 | 83.80 |
| 8k8k | 89.10 | 83.50 | | | Pass | SE2 | SE3 | SE13 | SE15 | ALL |
| --- | --- | --- | --- | --- | --- |
| 1 | 71.6 | 70.3 | 67.0 | 72.5 | 70.3 |
| 2 | 71.9 | 70.2 | 67.1 | 72.8 | 70.4 |
| 3 | 72.2 | 70.5 | 67.2 | 72.6 | 70.6 |
| 4 | 72.1 | 70.4 | 67.2 | 72.4 | 70.5 |
| 5 | 72.0 | 70.4 | 67.1 | 71.5 | 70.3 | | 0 |
| Quantity | TestingSet | CrossValidation |
| --- | --- | --- |
| 0.5k0.5k | 83 | 79.90 |
| 1k1k | 84 | 81.70 |
| 2k2k | 85.80 | 83.30 |
| 4k4k | 87.20 | 83.80 |
| 8k8k | 89.10 | 83.50 | | | 16k16k | 91.30 | 84.10 |
| --- | --- | --- |
| 32k32k | 92.50 | 86.10 | | 1 |
| Quantity | TestingSet | CrossValidation |
| --- | --- | --- |
| 0.5k0.5k | 83 | 79.90 |
| 1k1k | 84 | 81.70 |
| 2k2k | 85.80 | 83.30 |
| 4k4k | 87.20 | 83.80 |
| 8k8k | 89.10 | 83.50 | | | 4 | 72.1 | 70.4 | 67.2 | 72.4 | 70.5 |
| --- | --- | --- | --- | --- | --- |
| 5 | 72.0 | 70.4 | 67.1 | 71.5 | 70.3 | | 0 |
| FilterSize | TestAccuracy | Timeinseconds(onTitanX) |
| --- | --- | --- |
| 3x3x32 | 98 | 117 | | | 3x3x16 | 97.79 | 108 |
| --- | --- | --- |
| 3x3x8 | 97.5 | 103 |
| 3x3x4 | 96.6 | 108 |
| 3x3x2 | 96.2 | 106 | | 1 |
| FilterSize | TestAccuracy | Timeinseconds(onTitanX) |
| --- | --- | --- |
| 3x3x32 | 98 | 117 | | | FilterSize | TestAccuracy | Timeinseconds(onTitanX) |
| --- | --- | --- |
| 5x5x32 | 98.6 | 114 |
| 5x5x16 | 98.5 | 110 |
| 5x5x8 | 98.2 | 107 |
| 5x5x4 | 97.8 | 109 |
| 5x5x2 | 97.38 | 108 | | 0 |
| FilterSize | TestAccuracy | Timeinseconds(onTitanX) |
| --- | --- | --- |
| 3x3x32 | 98 | 117 | | | 3x3x16 | 97.79 | 108 |
| --- | --- | --- |
| 3x3x8 | 97.5 | 103 |
| 3x3x4 | 96.6 | 108 |
| 3x3x2 | 96.2 | 106 | | 1 |
| FilterSize | TestAccuracy | Timeinseconds(onTitanX) |
| --- | --- | --- |
| 3x3x32 | 98 | 117 | | | 5x5x8 | 98.2 | 107 |
| --- | --- | --- |
| 5x5x4 | 97.8 | 109 |
| 5x5x2 | 97.38 | 108 | | 0 |
| | MetaCREST-01 | CREST | CREST-Base | CREST-20 | CREST-10 | CREST-05 | CREST-01 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Girl2 | 0.594508 | 0.5784 | 0.5672 | 0.5937 | 0.6041 | 0.6046 | 0.6139 |
| Gym | 0.512262 | 0.4946 | 0.5087 | 0.4976 | 0.5196 | 0.4995 | 0.4956 |
| Human2 | 0.63796 | 0.6762 | 0.676 | 0.6797 | 0.6932 | 0.691 | 0.6977 |
| Human3 | 0.667901 | 0.048 | 0.0482 | 0.048 | 0.0482 | 0.0492 | 0.0473 |
| Human4-2 | 0.54537 | 0.3327 | 0.3291 | 0.313 | 0.3308 | 0.3355 | 0.3542 |
| Human5 | 0.504575 | 0.5228 | 0.5215 | 0.5637 | 0.5806 | 0.3885 | 0.4031 |
| Human6 | 0.338745 | 0.2988 | 0.2934 | 0.2893 | 0.2938 | 0.2534 | 0.2137 |
| Human7 | 0.685143 | 0.7573 | 0.7516 | 0.7575 | 0.7558 | 0.7356 | 0.625 |
| Human8 | 0.680804 | 0.6306 | 0.6291 | 0.7031 | 0.7001 | 0.5577 | 0.5141 |
| Human9 | 0.61249 | 0.6665 | 0.6662 | 0.6937 | 0.6767 | 0.5681 | 0.5135 | | | Ironman | 0.448078 | 0.3873 | 0.4016 | 0.4013 | 0.393 | 0.42 | 0.4191 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Jogging-1 | 0.733364 | 0.7681 | 0.7672 | 0.7844 | 0.7866 | 0.7791 | 0.7791 |
| Jogging-2 | 0.766713 | 0.7763 | 0.7771 | 0.7779 | 0.774 | 0.7631 | 0.769 |
| Jump | 0.248634 | 0.0792 | 0.0894 | 0.2619 | 0.2806 | 0.1101 | 0.0995 |
| Jumping | 0.726609 | 0.6706 | 0.6709 | 0.6782 | 0.6895 | 0.6994 | 0.7033 |
| KiteSurf | 0.704649 | 0.7126 | 0.7149 | 0.7012 | 0.7001 | 0.7001 | 0.6956 |
| Lemming | 0.59702 | 0.7557 | 0.7552 | 0.758 | 0.7624 | 0.7593 | 0.7545 |
| Liquor | 0.83414 | 0.8162 | 0.8153 | 0.8181 | 0.8189 | 0.8189 | 0.8189 |
| Man | 0.822672 | 0.795 | 0.7978 | 0.8028 | 0.8127 | 0.8266 | 0.807 |
| Matrix | 0.595238 | 0.4138 | 0.4233 | 0.4071 | 0.3929 | 0.2729 | 0.2748 |
| Mhyang | 0.742506 | 0.8348 | 0.8355 | 0.8348 | 0.8164 | 0.8215 | 0.8024 |
| MotorRolling | 0.652729 | 0.5752 | 0.5723 | 0.4974 | 0.1687 | 0.1135 | 0.0987 |
| MountainBike | 0.677945 | 0.7005 | 0.7007 | 0.7005 | 0.7001 | 0.6919 | 0.6953 |
| Panda | 0.535333 | 0.5103 | 0.4732 | 0.5478 | 0.5699 | 0.5645 | 0.5843 |
| RedTeam | 0.518596 | 0.6082 | 0.6424 | 0.6442 | 0.6462 | 0.6456 | 0.6336 |
| Rubik | 0.666857 | 0.6618 | 0.6572 | 0.6627 | 0.6642 | 0.662 | 0.6573 |
| Shaking | 0.75499 | 0.7444 | 0.7409 | 0.7444 | 0.7293 | 0.7571 | 0.771 |
| Singer1 | 0.539547 | 0.6697 | 0.674 | 0.6634 | 0.6344 | 0.5872 | 0.4001 |
| Singer2 | 0.775826 | 0.7328 | 0.733 | 0.0364 | 0.037 | 0.0389 | 0.0399 |
| Skater | 0.634821 | 0.5952 | 0.5958 | 0.5929 | 0.5961 | 0.6074 | 0.6259 |
| Skater2 | 0.616092 | 0.5734 | 0.591 | 0.6032 | 0.6193 | 0.6165 | 0.5872 |
| Skating1 | 0.65869 | 0.5182 | 0.556 | 0.5248 | 0.5739 | 0.5764 | 0.5942 |
| Skating2-1 | 0.519682 | 0.3528 | 0.351 | 0.3578 | 0.3601 | 0.3658 | 0.3614 |
| Skating2-2 | 0.41488 | 0.4164 | 0.4146 | 0.4978 | 0.5029 | 0.4014 | 0.3908 |
| Skiing | 0.566725 | 0.4674 | 0.4897 | 0.4738 | 0.4856 | 0.4656 | 0.465 |
| Soccer | 0.184038 | 0.4298 | 0.4275 | 0.4298 | 0.4298 | 0.3907 | 0.4563 |
| Subway | 0.790204 | 0.7045 | 0.1782 | 0.7415 | 0.7352 | 0.7369 | 0.7429 |
| Surfer | 0.632852 | 0.6511 | 0.6494 | 0.6682 | 0.5906 | 0.542 | 0.511 |
| Suv | 0.753036 | 0.7996 | 0.8062 | 0.8047 | 0.803 | 0.7994 | 0.5684 |
| Sylvester | 0.687024 | 0.7601 | 0.7605 | 0.7601 | 0.7625 | 0.7647 | 0.7645 |
| Tiger1 | 0.685096 | 0.6002 | 0.6005 | 0.6002 | 0.6002 | 0.6817 | 0.731 |
| Tiger2 | 0.628571 | 0.5894 | 0.5885 | 0.5931 | 0.5926 | 0.5954 | 0.58 |
| Toy | 0.633632 | 0.6038 | 0.602 | 0.6094 | 0.6422 | 0.6187 | 0.537 |
| Trans | 0.530338 | 0.5518 | 0.5457 | 0.5584 | 0.5465 | 0.5495 | 0.5757 |
| Trellis | 0.643987 | 0.7381 | 0.737 | 0.7394 | 0.7228 | 0.6891 | 0.6656 |
| Twinnings | 0.625316 | 0.67 | 0.6607 | 0.6781 | 0.6522 | 0.643 | 0.6395 |
| Vase | 0.450185 | 0.4665 | 0.4579 | 0.4665 | 0.4672 | 0.4521 | 0.3894 |
| Walking | 0.627369 | 0.6448 | 0.6596 | 0.6914 | 0.6775 | 0.662 | 0.6511 |
| Walking2 | 0.464571 | 0.6364 | 0.6253 | 0.6294 | 0.6555 | 0.6575 | 0.634 |
| Woman | 0.702002 | 0.7292 | 0.7341 | 0.7132 | 0.7192 | 0.7598 | 0.7692 |
| Average | 0.63696061 | 0.622858 | 0.617631 | 0.621314 | 0.62165 | 0.608597 | 0.595679 | | 1 |
| | MetaCREST-01 | CREST | CREST-Base | CREST-20 | CREST-10 | CREST-05 | CREST-01 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Girl2 | 0.594508 | 0.5784 | 0.5672 | 0.5937 | 0.6041 | 0.6046 | 0.6139 |
| Gym | 0.512262 | 0.4946 | 0.5087 | 0.4976 | 0.5196 | 0.4995 | 0.4956 |
| Human2 | 0.63796 | 0.6762 | 0.676 | 0.6797 | 0.6932 | 0.691 | 0.6977 |
| Human3 | 0.667901 | 0.048 | 0.0482 | 0.048 | 0.0482 | 0.0492 | 0.0473 |
| Human4-2 | 0.54537 | 0.3327 | 0.3291 | 0.313 | 0.3308 | 0.3355 | 0.3542 |
| Human5 | 0.504575 | 0.5228 | 0.5215 | 0.5637 | 0.5806 | 0.3885 | 0.4031 |
| Human6 | 0.338745 | 0.2988 | 0.2934 | 0.2893 | 0.2938 | 0.2534 | 0.2137 |
| Human7 | 0.685143 | 0.7573 | 0.7516 | 0.7575 | 0.7558 | 0.7356 | 0.625 |
| Human8 | 0.680804 | 0.6306 | 0.6291 | 0.7031 | 0.7001 | 0.5577 | 0.5141 |
| Human9 | 0.61249 | 0.6665 | 0.6662 | 0.6937 | 0.6767 | 0.5681 | 0.5135 | | | | 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 |
| | MetaCREST-01 | CREST | CREST-Base | CREST-20 | CREST-10 | CREST-05 | CREST-01 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Girl2 | 0.594508 | 0.5784 | 0.5672 | 0.5937 | 0.6041 | 0.6046 | 0.6139 |
| Gym | 0.512262 | 0.4946 | 0.5087 | 0.4976 | 0.5196 | 0.4995 | 0.4956 |
| Human2 | 0.63796 | 0.6762 | 0.676 | 0.6797 | 0.6932 | 0.691 | 0.6977 |
| Human3 | 0.667901 | 0.048 | 0.0482 | 0.048 | 0.0482 | 0.0492 | 0.0473 |
| Human4-2 | 0.54537 | 0.3327 | 0.3291 | 0.313 | 0.3308 | 0.3355 | 0.3542 |
| Human5 | 0.504575 | 0.5228 | 0.5215 | 0.5637 | 0.5806 | 0.3885 | 0.4031 |
| Human6 | 0.338745 | 0.2988 | 0.2934 | 0.2893 | 0.2938 | 0.2534 | 0.2137 |
| Human7 | 0.685143 | 0.7573 | 0.7516 | 0.7575 | 0.7558 | 0.7356 | 0.625 |
| Human8 | 0.680804 | 0.6306 | 0.6291 | 0.7031 | 0.7001 | 0.5577 | 0.5141 |
| Human9 | 0.61249 | 0.6665 | 0.6662 | 0.6937 | 0.6767 | 0.5681 | 0.5135 |
| Ironman | 0.448078 | 0.3873 | 0.4016 | 0.4013 | 0.393 | 0.42 | 0.4191 |
| Jogging-1 | 0.733364 | 0.7681 | 0.7672 | 0.7844 | 0.7866 | 0.7791 | 0.7791 |
| Jogging-2 | 0.766713 | 0.7763 | 0.7771 | 0.7779 | 0.774 | 0.7631 | 0.769 |
| Jump | 0.248634 | 0.0792 | 0.0894 | 0.2619 | 0.2806 | 0.1101 | 0.0995 |
| Jumping | 0.726609 | 0.6706 | 0.6709 | 0.6782 | 0.6895 | 0.6994 | 0.7033 |
| KiteSurf | 0.704649 | 0.7126 | 0.7149 | 0.7012 | 0.7001 | 0.7001 | 0.6956 |
| Lemming | 0.59702 | 0.7557 | 0.7552 | 0.758 | 0.7624 | 0.7593 | 0.7545 |
| Liquor | 0.83414 | 0.8162 | 0.8153 | 0.8181 | 0.8189 | 0.8189 | 0.8189 |
| Man | 0.822672 | 0.795 | 0.7978 | 0.8028 | 0.8127 | 0.8266 | 0.807 |
| Matrix | 0.595238 | 0.4138 | 0.4233 | 0.4071 | 0.3929 | 0.2729 | 0.2748 |
| Mhyang | 0.742506 | 0.8348 | 0.8355 | 0.8348 | 0.8164 | 0.8215 | 0.8024 |
| MotorRolling | 0.652729 | 0.5752 | 0.5723 | 0.4974 | 0.1687 | 0.1135 | 0.0987 |
| MountainBike | 0.677945 | 0.7005 | 0.7007 | 0.7005 | 0.7001 | 0.6919 | 0.6953 |
| Panda | 0.535333 | 0.5103 | 0.4732 | 0.5478 | 0.5699 | 0.5645 | 0.5843 |
| RedTeam | 0.518596 | 0.6082 | 0.6424 | 0.6442 | 0.6462 | 0.6456 | 0.6336 |
| Rubik | 0.666857 | 0.6618 | 0.6572 | 0.6627 | 0.6642 | 0.662 | 0.6573 |
| Shaking | 0.75499 | 0.7444 | 0.7409 | 0.7444 | 0.7293 | 0.7571 | 0.771 |
| Singer1 | 0.539547 | 0.6697 | 0.674 | 0.6634 | 0.6344 | 0.5872 | 0.4001 |
| Singer2 | 0.775826 | 0.7328 | 0.733 | 0.0364 | 0.037 | 0.0389 | 0.0399 |
| Skater | 0.634821 | 0.5952 | 0.5958 | 0.5929 | 0.5961 | 0.6074 | 0.6259 |
| Skater2 | 0.616092 | 0.5734 | 0.591 | 0.6032 | 0.6193 | 0.6165 | 0.5872 |
| Skating1 | 0.65869 | 0.5182 | 0.556 | 0.5248 | 0.5739 | 0.5764 | 0.5942 |
| Skating2-1 | 0.519682 | 0.3528 | 0.351 | 0.3578 | 0.3601 | 0.3658 | 0.3614 |
| Skating2-2 | 0.41488 | 0.4164 | 0.4146 | 0.4978 | 0.5029 | 0.4014 | 0.3908 |
| Skiing | 0.566725 | 0.4674 | 0.4897 | 0.4738 | 0.4856 | 0.4656 | 0.465 |
| Soccer | 0.184038 | 0.4298 | 0.4275 | 0.4298 | 0.4298 | 0.3907 | 0.4563 |
| Subway | 0.790204 | 0.7045 | 0.1782 | 0.7415 | 0.7352 | 0.7369 | 0.7429 |
| Surfer | 0.632852 | 0.6511 | 0.6494 | 0.6682 | 0.5906 | 0.542 | 0.511 |
| Suv | 0.753036 | 0.7996 | 0.8062 | 0.8047 | 0.803 | 0.7994 | 0.5684 |
| Sylvester | 0.687024 | 0.7601 | 0.7605 | 0.7601 | 0.7625 | 0.7647 | 0.7645 |
| Tiger1 | 0.685096 | 0.6002 | 0.6005 | 0.6002 | 0.6002 | 0.6817 | 0.731 |
| Tiger2 | 0.628571 | 0.5894 | 0.5885 | 0.5931 | 0.5926 | 0.5954 | 0.58 |
| Toy | 0.633632 | 0.6038 | 0.602 | 0.6094 | 0.6422 | 0.6187 | 0.537 |
| Trans | 0.530338 | 0.5518 | 0.5457 | 0.5584 | 0.5465 | 0.5495 | 0.5757 |
| Trellis | 0.643987 | 0.7381 | 0.737 | 0.7394 | 0.7228 | 0.6891 | 0.6656 |
| Twinnings | 0.625316 | 0.67 | 0.6607 | 0.6781 | 0.6522 | 0.643 | 0.6395 |
| Vase | 0.450185 | 0.4665 | 0.4579 | 0.4665 | 0.4672 | 0.4521 | 0.3894 | | | Walking | 0.627369 | 0.6448 | 0.6596 | 0.6914 | 0.6775 | 0.662 | 0.6511 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Walking2 | 0.464571 | 0.6364 | 0.6253 | 0.6294 | 0.6555 | 0.6575 | 0.634 |
| Woman | 0.702002 | 0.7292 | 0.7341 | 0.7132 | 0.7192 | 0.7598 | 0.7692 |
| Average | 0.63696061 | 0.622858 | 0.617631 | 0.621314 | 0.62165 | 0.608597 | 0.595679 | | 1 |
| | MetaCREST-01 | CREST | CREST-Base | CREST-20 | CREST-10 | CREST-05 | CREST-01 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Girl2 | 0.594508 | 0.5784 | 0.5672 | 0.5937 | 0.6041 | 0.6046 | 0.6139 |
| Gym | 0.512262 | 0.4946 | 0.5087 | 0.4976 | 0.5196 | 0.4995 | 0.4956 |
| Human2 | 0.63796 | 0.6762 | 0.676 | 0.6797 | 0.6932 | 0.691 | 0.6977 |
| Human3 | 0.667901 | 0.048 | 0.0482 | 0.048 | 0.0482 | 0.0492 | 0.0473 |
| Human4-2 | 0.54537 | 0.3327 | 0.3291 | 0.313 | 0.3308 | 0.3355 | 0.3542 |
| Human5 | 0.504575 | 0.5228 | 0.5215 | 0.5637 | 0.5806 | 0.3885 | 0.4031 |
| Human6 | 0.338745 | 0.2988 | 0.2934 | 0.2893 | 0.2938 | 0.2534 | 0.2137 |
| Human7 | 0.685143 | 0.7573 | 0.7516 | 0.7575 | 0.7558 | 0.7356 | 0.625 |
| Human8 | 0.680804 | 0.6306 | 0.6291 | 0.7031 | 0.7001 | 0.5577 | 0.5141 |
| Human9 | 0.61249 | 0.6665 | 0.6662 | 0.6937 | 0.6767 | 0.5681 | 0.5135 |
| Ironman | 0.448078 | 0.3873 | 0.4016 | 0.4013 | 0.393 | 0.42 | 0.4191 |
| Jogging-1 | 0.733364 | 0.7681 | 0.7672 | 0.7844 | 0.7866 | 0.7791 | 0.7791 |
| Jogging-2 | 0.766713 | 0.7763 | 0.7771 | 0.7779 | 0.774 | 0.7631 | 0.769 |
| Jump | 0.248634 | 0.0792 | 0.0894 | 0.2619 | 0.2806 | 0.1101 | 0.0995 |
| Jumping | 0.726609 | 0.6706 | 0.6709 | 0.6782 | 0.6895 | 0.6994 | 0.7033 |
| KiteSurf | 0.704649 | 0.7126 | 0.7149 | 0.7012 | 0.7001 | 0.7001 | 0.6956 |
| Lemming | 0.59702 | 0.7557 | 0.7552 | 0.758 | 0.7624 | 0.7593 | 0.7545 |
| Liquor | 0.83414 | 0.8162 | 0.8153 | 0.8181 | 0.8189 | 0.8189 | 0.8189 |
| Man | 0.822672 | 0.795 | 0.7978 | 0.8028 | 0.8127 | 0.8266 | 0.807 |
| Matrix | 0.595238 | 0.4138 | 0.4233 | 0.4071 | 0.3929 | 0.2729 | 0.2748 |
| Mhyang | 0.742506 | 0.8348 | 0.8355 | 0.8348 | 0.8164 | 0.8215 | 0.8024 |
| MotorRolling | 0.652729 | 0.5752 | 0.5723 | 0.4974 | 0.1687 | 0.1135 | 0.0987 |
| MountainBike | 0.677945 | 0.7005 | 0.7007 | 0.7005 | 0.7001 | 0.6919 | 0.6953 |
| Panda | 0.535333 | 0.5103 | 0.4732 | 0.5478 | 0.5699 | 0.5645 | 0.5843 |
| RedTeam | 0.518596 | 0.6082 | 0.6424 | 0.6442 | 0.6462 | 0.6456 | 0.6336 |
| Rubik | 0.666857 | 0.6618 | 0.6572 | 0.6627 | 0.6642 | 0.662 | 0.6573 |
| Shaking | 0.75499 | 0.7444 | 0.7409 | 0.7444 | 0.7293 | 0.7571 | 0.771 |
| Singer1 | 0.539547 | 0.6697 | 0.674 | 0.6634 | 0.6344 | 0.5872 | 0.4001 |
| Singer2 | 0.775826 | 0.7328 | 0.733 | 0.0364 | 0.037 | 0.0389 | 0.0399 |
| Skater | 0.634821 | 0.5952 | 0.5958 | 0.5929 | 0.5961 | 0.6074 | 0.6259 |
| Skater2 | 0.616092 | 0.5734 | 0.591 | 0.6032 | 0.6193 | 0.6165 | 0.5872 |
| Skating1 | 0.65869 | 0.5182 | 0.556 | 0.5248 | 0.5739 | 0.5764 | 0.5942 |
| Skating2-1 | 0.519682 | 0.3528 | 0.351 | 0.3578 | 0.3601 | 0.3658 | 0.3614 |
| Skating2-2 | 0.41488 | 0.4164 | 0.4146 | 0.4978 | 0.5029 | 0.4014 | 0.3908 |
| Skiing | 0.566725 | 0.4674 | 0.4897 | 0.4738 | 0.4856 | 0.4656 | 0.465 |
| Soccer | 0.184038 | 0.4298 | 0.4275 | 0.4298 | 0.4298 | 0.3907 | 0.4563 |
| Subway | 0.790204 | 0.7045 | 0.1782 | 0.7415 | 0.7352 | 0.7369 | 0.7429 |
| Surfer | 0.632852 | 0.6511 | 0.6494 | 0.6682 | 0.5906 | 0.542 | 0.511 |
| Suv | 0.753036 | 0.7996 | 0.8062 | 0.8047 | 0.803 | 0.7994 | 0.5684 |
| Sylvester | 0.687024 | 0.7601 | 0.7605 | 0.7601 | 0.7625 | 0.7647 | 0.7645 |
| Tiger1 | 0.685096 | 0.6002 | 0.6005 | 0.6002 | 0.6002 | 0.6817 | 0.731 |
| Tiger2 | 0.628571 | 0.5894 | 0.5885 | 0.5931 | 0.5926 | 0.5954 | 0.58 |
| Toy | 0.633632 | 0.6038 | 0.602 | 0.6094 | 0.6422 | 0.6187 | 0.537 |
| Trans | 0.530338 | 0.5518 | 0.5457 | 0.5584 | 0.5465 | 0.5495 | 0.5757 |
| Trellis | 0.643987 | 0.7381 | 0.737 | 0.7394 | 0.7228 | 0.6891 | 0.6656 |
| Twinnings | 0.625316 | 0.67 | 0.6607 | 0.6781 | 0.6522 | 0.643 | 0.6395 |
| Vase | 0.450185 | 0.4665 | 0.4579 | 0.4665 | 0.4672 | 0.4521 | 0.3894 | | | 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 |
| 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 |
| | scale | One-shot-independent | One-shot-greedy | CascadeTrimming | Trim-Train |
| --- | --- | --- | --- | --- | --- |
| Param. | - | 58,544 | 58,544 | 58,544 | 58,544 |
| Set5 | 2<br>3<br>4 | 37.20/0.9546/0.012<br>33.24/0.9161/0.012<br>31.02/0.8802/0.013 | 37.18/0.9549/0.012<br>33.21/0.9158/0.012<br>31.05/0.8805/0.012 | 37.50/0.9576/0.012<br>33.61/0.9201/0.012<br>31.35/0.8836/0.012 | 37.33/0.9555/0.012<br>33.43/0.9185/0.012<br>31.16/0.8817/0.012 | | | Set14 | 2<br>3<br>4 | 32.80/0.9096/0.022<br>29.70/0.8270/0.022<br>27.91/0.7633/0.022 | 32.76/0.9100/0.021<br>29.68/0.8266/0.022<br>27.91/0.7639/0.022 | 33.23/0.9115/0.022<br>29.78/0.8308/0.022<br>28.06/0.7664/0.022 | 33.00/0.9105/0.021<br>29.72/0.8290/0.022<br>27.97/0.7650/0.022 |
| --- | --- | --- | --- | --- | --- |
| BSD | 2<br>3<br>4 | 31.54/0.8920/0.013<br>28.60/0.7938/0.012<br>27.08/0.7210/0.013 | 31.55/0.8924/0.012<br>28.61/0.7941/0.012<br>27.09/0.7214/0.012 | 31.76/0.8951/0.013<br>28.72/0.7968/0.012<br>27.21/0.7238/0.013 | 31.64/0.8940/0.012<br>28.65/0.7953/0.013<br>27.12/0.7222/0.013 | | 1 |
| | scale | One-shot-independent | One-shot-greedy | CascadeTrimming | Trim-Train |
| --- | --- | --- | --- | --- | --- |
| Param. | - | 58,544 | 58,544 | 58,544 | 58,544 |
| Set5 | 2<br>3<br>4 | 37.20/0.9546/0.012<br>33.24/0.9161/0.012<br>31.02/0.8802/0.013 | 37.18/0.9549/0.012<br>33.21/0.9158/0.012<br>31.05/0.8805/0.012 | 37.50/0.9576/0.012<br>33.61/0.9201/0.012<br>31.35/0.8836/0.012 | 37.33/0.9555/0.012<br>33.43/0.9185/0.012<br>31.16/0.8817/0.012 | | | | scale | CT-SRCNN-13 | Trim-S1 | Trim-S2 | Trim-S3 |
| --- | --- | --- | --- | --- | --- |
| Param. | - | 149,344 | 137,424 | 123,600 | 109,776 |
| Set5 | 2<br>3<br>4 | 37.61/0.9590/0.019<br>33.76/0.9219/0.019<br>31.49/0.8849/0.020 | 37.61/0.9591/0.018<br>33.77/0.9219/0.018<br>31.49/0.8849/0.018 | 37.60/0.9590/0.016<br>33.75/0.9218/0.016<br>31.49/0.8848/0.017 | 37.59/0.9589/0.015<br>33.74/0.9216/0.014<br>31.48/0.8847/0.017 |
| Set14 | 2<br>3<br>4 | 33.37/0.9131/0.032<br>29.91/0.8324/0.034<br>28.20/0.7680/0.032 | 33.38/0.9130/0.030<br>29.90/0.8326/0.031<br>28.20/0.7681/0.029 | 33.36/0.9130/0.028<br>29.89/0.8324/0.028<br>28.19/0.7679/0.027 | 33.36/0.9128/0.025<br>29.88/0.8322/0.026<br>28.18/0.7677/0.025 |
| BSD | 2<br>3<br>4 | 31.87/0.8962/0.020<br>28.80/0.7980/0.021<br>27.30/0.7253/0.020 | 31.86/0.8964/0.018<br>28.81/0.7980/0.019<br>27.30/0.7254/0.018 | 31.86/0.8962/0.017<br>28.80/0.7979/0.017<br>27.30/0.7251/0.016 | 31.84/0.8960/0.015<br>28.78/0.7978/0.016<br>27.28/0.7249/0.015 | | 0 |
| | scale | One-shot-independent | One-shot-greedy | CascadeTrimming | Trim-Train |
| --- | --- | --- | --- | --- | --- |
| Param. | - | 58,544 | 58,544 | 58,544 | 58,544 |
| Set5 | 2<br>3<br>4 | 37.20/0.9546/0.012<br>33.24/0.9161/0.012<br>31.02/0.8802/0.013 | 37.18/0.9549/0.012<br>33.21/0.9158/0.012<br>31.05/0.8805/0.012 | 37.50/0.9576/0.012<br>33.61/0.9201/0.012<br>31.35/0.8836/0.012 | 37.33/0.9555/0.012<br>33.43/0.9185/0.012<br>31.16/0.8817/0.012 | | | Set14 | 2<br>3<br>4 | 32.80/0.9096/0.022<br>29.70/0.8270/0.022<br>27.91/0.7633/0.022 | 32.76/0.9100/0.021<br>29.68/0.8266/0.022<br>27.91/0.7639/0.022 | 33.23/0.9115/0.022<br>29.78/0.8308/0.022<br>28.06/0.7664/0.022 | 33.00/0.9105/0.021<br>29.72/0.8290/0.022<br>27.97/0.7650/0.022 |
| --- | --- | --- | --- | --- | --- |
| BSD | 2<br>3<br>4 | 31.54/0.8920/0.013<br>28.60/0.7938/0.012<br>27.08/0.7210/0.013 | 31.55/0.8924/0.012<br>28.61/0.7941/0.012<br>27.09/0.7214/0.012 | 31.76/0.8951/0.013<br>28.72/0.7968/0.012<br>27.21/0.7238/0.013 | 31.64/0.8940/0.012<br>28.65/0.7953/0.013<br>27.12/0.7222/0.013 | | 1 |
| | scale | One-shot-independent | One-shot-greedy | CascadeTrimming | Trim-Train |
| --- | --- | --- | --- | --- | --- |
| Param. | - | 58,544 | 58,544 | 58,544 | 58,544 |
| Set5 | 2<br>3<br>4 | 37.20/0.9546/0.012<br>33.24/0.9161/0.012<br>31.02/0.8802/0.013 | 37.18/0.9549/0.012<br>33.21/0.9158/0.012<br>31.05/0.8805/0.012 | 37.50/0.9576/0.012<br>33.61/0.9201/0.012<br>31.35/0.8836/0.012 | 37.33/0.9555/0.012<br>33.43/0.9185/0.012<br>31.16/0.8817/0.012 | | | Set14 | 2<br>3<br>4 | 33.37/0.9131/0.032<br>29.91/0.8324/0.034<br>28.20/0.7680/0.032 | 33.38/0.9130/0.030<br>29.90/0.8326/0.031<br>28.20/0.7681/0.029 | 33.36/0.9130/0.028<br>29.89/0.8324/0.028<br>28.19/0.7679/0.027 | 33.36/0.9128/0.025<br>29.88/0.8322/0.026<br>28.18/0.7677/0.025 |
| --- | --- | --- | --- | --- | --- |
| BSD | 2<br>3<br>4 | 31.87/0.8962/0.020<br>28.80/0.7980/0.021<br>27.30/0.7253/0.020 | 31.86/0.8964/0.018<br>28.81/0.7980/0.019<br>27.30/0.7254/0.018 | 31.86/0.8962/0.017<br>28.80/0.7979/0.017<br>27.30/0.7251/0.016 | 31.84/0.8960/0.015<br>28.78/0.7978/0.016<br>27.28/0.7249/0.015 | | 0 |
| Object | Probabilityofco-occurrence |
| --- | --- |
| Man | 0.240 | | | Road | 0.151 |
| --- | --- |
| Sign | 0.074 |
| Sidewalk | 0.051 |
| Traffic | 0.076 | | 1 |
| Object | Probabilityofco-occurrence |
| --- | --- |
| Man | 0.240 | | | No. | String | Probabilityofoccurrence |
| --- | --- | --- |
| 0 | 000 | 0.133567088 |
| 1 | 001 | 0.122682815 |
| 2 | 010 | 0.130448785 |
| 3 | 011 | 0.119522821 |
| 4 | 100 | 0.122658224 |
| 5 | 101 | 0.127181921 |
| 6 | 110 | 0.119505945 |
| 7 | 111 | 0.1244324 | | 0 |
| Object | Probabilityofco-occurrence |
| --- | --- |
| Man | 0.240 | | | Road | 0.151 |
| --- | --- |
| Sign | 0.074 |
| Sidewalk | 0.051 |
| Traffic | 0.076 | | 1 |
| Object | Probabilityofco-occurrence |
| --- | --- |
| Man | 0.240 | | | 1 | 001 | 0.122682815 |
| --- | --- | --- |
| 2 | 010 | 0.130448785 |
| 3 | 011 | 0.119522821 |
| 4 | 100 | 0.122658224 |
| 5 | 101 | 0.127181921 |
| 6 | 110 | 0.119505945 |
| 7 | 111 | 0.1244324 | | 0 |
| Measure | Method | σ=0 | σ=4 | σ=6 | σ=8 | σ=12 |
| --- | --- | --- | --- | --- | --- | --- |
| PSNR | Bicubic | 33.08 | 32.99 | 32.75 | 32.50 | 31.88 |
| ScSR | 34.00 | 33.95 | 33.92 | 33.90 | 33.86 | | | | MCcSR | 34.14 | 34.11 | 34.09 | 34.09 | 34.07 | |
| --- | --- | --- | --- | --- | --- | --- |
| SSIM | Bicubic | 0.745 | 0.731 | 0.698 | 0.672 | 0.619 |
| ScSR | 0.774 | 0.772 | 0.766 | 0.761 | 0.752 | |
| MCcSR | 0.785 | 0.783 | 0.780 | 0.775 | 0.768 | |
| SCIELAB | Bicubic | 2.79E4 | 2.92E4 | 4.40E4 | 5.25E4 | 6.31E4 |
| ScSR | 2.28E4 | 2.31E4 | 2.36E4 | 2.39E4 | 2.43E4 | |
| MCcSR | 2.14E4 | 2.16E4 | 2.20E4 | 2.21E4 | 2.23E4 | | | 1 |
| Measure | Method | σ=0 | σ=4 | σ=6 | σ=8 | σ=12 |
| --- | --- | --- | --- | --- | --- | --- |
| PSNR | Bicubic | 33.08 | 32.99 | 32.75 | 32.50 | 31.88 |
| ScSR | 34.00 | 33.95 | 33.92 | 33.90 | 33.86 | | | | Sigma | Index | Methods | | | |
| --- | --- | --- | --- | --- | --- |
| Noisy | LSCD | CBM3D | WLRTR | | |
| 10 | PSNR | 28.13 | 33.85 | 35.90 | 35.91 |
| SSIM | 0.7020 | 0.9188 | 0.9501 | 0.9511 | |
| 20 | PSNR | 22.17 | 30.26 | 31.85 | 31.94 |
| SSIM | 0.4580 | 0.8469 | 0.8923 | 0.8953 | |
| 30 | PSNR | 18.58 | 28.22 | 29.69 | 29.87 |
| SSIM | 0.3223 | 0.7854 | 0.8402 | 0.8444 | |
| 40 | PSNR | 16.08 | 27.00 | 28.10 | 28.47 |
| SSIM | 0.2388 | 0.7417 | 0.7872 | 0.7973 | | | 0 |
| Measure | Method | σ=0 | σ=4 | σ=6 | σ=8 | σ=12 |
| --- | --- | --- | --- | --- | --- | --- |
| PSNR | Bicubic | 33.08 | 32.99 | 32.75 | 32.50 | 31.88 |
| ScSR | 34.00 | 33.95 | 33.92 | 33.90 | 33.86 | | | | MCcSR | 34.14 | 34.11 | 34.09 | 34.09 | 34.07 | |
| --- | --- | --- | --- | --- | --- | --- |
| SSIM | Bicubic | 0.745 | 0.731 | 0.698 | 0.672 | 0.619 |
| ScSR | 0.774 | 0.772 | 0.766 | 0.761 | 0.752 | |
| MCcSR | 0.785 | 0.783 | 0.780 | 0.775 | 0.768 | |
| SCIELAB | Bicubic | 2.79E4 | 2.92E4 | 4.40E4 | 5.25E4 | 6.31E4 |
| ScSR | 2.28E4 | 2.31E4 | 2.36E4 | 2.39E4 | 2.43E4 | |
| MCcSR | 2.14E4 | 2.16E4 | 2.20E4 | 2.21E4 | 2.23E4 | | | 1 |
| Measure | Method | σ=0 | σ=4 | σ=6 | σ=8 | σ=12 |
| --- | --- | --- | --- | --- | --- | --- |
| PSNR | Bicubic | 33.08 | 32.99 | 32.75 | 32.50 | 31.88 |
| ScSR | 34.00 | 33.95 | 33.92 | 33.90 | 33.86 | | | | 10 | PSNR | 28.13 | 33.85 | 35.90 | 35.91 |
| --- | --- | --- | --- | --- | --- |
| SSIM | 0.7020 | 0.9188 | 0.9501 | 0.9511 | |
| 20 | PSNR | 22.17 | 30.26 | 31.85 | 31.94 |
| SSIM | 0.4580 | 0.8469 | 0.8923 | 0.8953 | |
| 30 | PSNR | 18.58 | 28.22 | 29.69 | 29.87 |
| SSIM | 0.3223 | 0.7854 | 0.8402 | 0.8444 | |
| 40 | PSNR | 16.08 | 27.00 | 28.10 | 28.47 |
| SSIM | 0.2388 | 0.7417 | 0.7872 | 0.7973 | | | 0 |
| method | mean() | median() | trimean() |
| --- | --- | --- | --- |
| Originallyreportedresults | | | |
| Shades-of-Gray | 11.55 | 9.70 | 10.23 |
| GeneralGray-World | 11.55 | 9.70 | 10.23 |
| 1st-orderGray-Edge | 10.58 | 8.84 | 9.18 |
| 2nd-orderGray-Edge | 10.68 | 9.02 | 9.40 |
| Revisitedresults | | | |
| Shades-of-Gray | 13.32 | 11.57 | 12.10 |
| GeneralGray-World | 13.69 | 12.11 | 12.55 |
| 1st-orderGray-Edge | 11.06 | 9.54 | 9.81 |
| 2nd-orderGray-Edge | 10.73 | 9.21 | 9.49 |
| Greenstabilityassumptionresults | | | |
| Shades-of-Gray | 12.68 | 10.50 | 11.25 |
| GeneralGray-World | 12.68 | 10.50 | 11.25 | | | 1st-orderGray-Edge | 13.41 | 11.04 | 11.87 |
| --- | --- | --- | --- |
| 2nd-orderGray-Edge | 12.83 | 10.70 | 11.44 | | 1 |
| method | mean() | median() | trimean() |
| --- | --- | --- | --- |
| Originallyreportedresults | | | |
| Shades-of-Gray | 11.55 | 9.70 | 10.23 |
| GeneralGray-World | 11.55 | 9.70 | 10.23 |
| 1st-orderGray-Edge | 10.58 | 8.84 | 9.18 |
| 2nd-orderGray-Edge | 10.68 | 9.02 | 9.40 |
| Revisitedresults | | | |
| Shades-of-Gray | 13.32 | 11.57 | 12.10 |
| GeneralGray-World | 13.69 | 12.11 | 12.55 |
| 1st-orderGray-Edge | 11.06 | 9.54 | 9.81 |
| 2nd-orderGray-Edge | 10.73 | 9.21 | 9.49 |
| Greenstabilityassumptionresults | | | |
| Shades-of-Gray | 12.68 | 10.50 | 11.25 |
| GeneralGray-World | 12.68 | 10.50 | 11.25 | | | method | mean() | median() | trimean() |
| --- | --- | --- | --- |
| Originallyreportedresults | | | |
| Shades-of-Gray | 6.14 | 5.33 | 5.51 |
| GeneralGray-World | 6.14 | 5.33 | 5.51 |
| 1st-orderGray-Edge | 5.88 | 4.65 | 5.11 |
| 2nd-orderGray-Edge | 6.10 | 4.85 | 5.28 |
| Revisitedresults | | | |
| Shades-of-Gray | 7.80 | 7.15 | 7.21 |
| GeneralGray-World | 7.61 | 6.85 | 6.92 |
| 1st-orderGray-Edge | 6.14 | 5.32 | 5.49 |
| 2nd-orderGray-Edge | 6.89 | 5.84 | 6.06 |
| Greenstabilityassumptionresults | | | |
| Shades-of-Gray | 6.80 | 5.30 | 5.77 |
| GeneralGray-World | 6.80 | 5.30 | 5.77 |
| 1st-orderGray-Edge | 5.97 | 4.64 | 5.10 |
| 2nd-orderGray-Edge | 6.69 | 5.17 | 5.72 | | 0 |
| method | mean() | median() | trimean() |
| --- | --- | --- | --- |
| Originallyreportedresults | | | |
| Shades-of-Gray | 11.55 | 9.70 | 10.23 |
| GeneralGray-World | 11.55 | 9.70 | 10.23 |
| 1st-orderGray-Edge | 10.58 | 8.84 | 9.18 |
| 2nd-orderGray-Edge | 10.68 | 9.02 | 9.40 |
| Revisitedresults | | | |
| Shades-of-Gray | 13.32 | 11.57 | 12.10 |
| GeneralGray-World | 13.69 | 12.11 | 12.55 |
| 1st-orderGray-Edge | 11.06 | 9.54 | 9.81 |
| 2nd-orderGray-Edge | 10.73 | 9.21 | 9.49 | | | Greenstabilityassumptionresults | | | |
| --- | --- | --- | --- |
| Shades-of-Gray | 12.68 | 10.50 | 11.25 |
| GeneralGray-World | 12.68 | 10.50 | 11.25 |
| 1st-orderGray-Edge | 13.41 | 11.04 | 11.87 |
| 2nd-orderGray-Edge | 12.83 | 10.70 | 11.44 | | 1 |
| method | mean() | median() | trimean() |
| --- | --- | --- | --- |
| Originallyreportedresults | | | |
| Shades-of-Gray | 11.55 | 9.70 | 10.23 |
| GeneralGray-World | 11.55 | 9.70 | 10.23 |
| 1st-orderGray-Edge | 10.58 | 8.84 | 9.18 |
| 2nd-orderGray-Edge | 10.68 | 9.02 | 9.40 |
| Revisitedresults | | | |
| Shades-of-Gray | 13.32 | 11.57 | 12.10 |
| GeneralGray-World | 13.69 | 12.11 | 12.55 |
| 1st-orderGray-Edge | 11.06 | 9.54 | 9.81 |
| 2nd-orderGray-Edge | 10.73 | 9.21 | 9.49 | | | Greenstabilityassumptionresults | | | |
| --- | --- | --- | --- |
| Shades-of-Gray | 6.80 | 5.30 | 5.77 |
| GeneralGray-World | 6.80 | 5.30 | 5.77 |
| 1st-orderGray-Edge | 5.97 | 4.64 | 5.10 |
| 2nd-orderGray-Edge | 6.69 | 5.17 | 5.72 | | 0 |
| Layer | KernelSizeNNNsetspatkeep |
| --- | --- |
| C1(3×128) | 3×33166 |
| C2(128×128) | 3×38163 |
| C3(128×128) | 3×38162 | | | C4(128×128) | 3×38162 |
| --- | --- |
| C5(128×256) | 3×316162 |
| C6(256×256) | 3×316162 |
| FC(256×256) | 4×48163 |
| FC(256×10) | 4×45164 | | 1 |
| Layer | KernelSizeNNNsetspatkeep |
| --- | --- |
| C1(3×128) | 3×33166 |
| C2(128×128) | 3×38163 |
| C3(128×128) | 3×38162 | | | Process | LayerName | LayerType | fpoperationsperimage | Device |
| --- | --- | --- | --- | --- |
| Forward | FC6 | FC-dropout | 75497472 | K40-cudnn |
| FC7 | FC-dropout | 33554432 | K40-cudnn | |
| FC8 | FC-softmax | 8192000 | K40-cudnn | |
| FC6 | FC-dropout | 75497472 | K40-cublas | |
| FC7 | FC-dropout | 33554432 | K40-cublas | |
| FC8 | FC-softmax | 8192000 | K40-cublas | |
| Backward | FC6 | FC-dropout | 150994944 | K40-cudnn |
| FC7 | FC-dropout | 67108864 | K40-cudnn | |
| FC8 | FC-softmax | 16384000 | K40-cudnn | |
| FC6 | FC-dropout | 150994944 | K40-cublas | |
| FC7 | FC-dropout | 67108864 | K40-cublas | |
| FC8 | FC-softmax | 16384000 | K40-cublas | | | 0 |
| Layer | KernelSizeNNNsetspatkeep |
| --- | --- |
| C1(3×128) | 3×33166 |
| C2(128×128) | 3×38163 |
| C3(128×128) | 3×38162 |
| C4(128×128) | 3×38162 |
| C5(128×256) | 3×316162 | | | C6(256×256) | 3×316162 |
| --- | --- |
| FC(256×256) | 4×48163 |
| FC(256×10) | 4×45164 | | 1 |
| Layer | KernelSizeNNNsetspatkeep |
| --- | --- |
| C1(3×128) | 3×33166 |
| C2(128×128) | 3×38163 |
| C3(128×128) | 3×38162 |
| C4(128×128) | 3×38162 |
| C5(128×256) | 3×316162 | | | FC7 | FC-dropout | 67108864 | K40-cublas |
| --- | --- | --- | --- |
| FC8 | FC-softmax | 16384000 | K40-cublas | | 0 |
| Method | SoftTop1 | SoftTop2 | SoftTop5 | SoftTop10 | HardTop2 |
| --- | --- | --- | --- | --- | --- |
| Tebessa-C* | 97.6 | 97.9 | 98.3 | 98.5 | 96.1 |
| Multi-feature* | 99.4 | 99.5 | 99.6 | 99.7 | 98.3 | | | SuperVector | 99.2 | NA | NA | NA | 98.1 |
| --- | --- | --- | --- | --- | --- |
| SRS-LBPl1out8,4 | 99.0 | 99.2 | 99.4 | 99.5 | 97.7 |
| SRS-LBPmetric* | 98.6 | 98.8 | 98.9 | 99.1 | 97.8 |
| SRS-LBPl1out | 99.4 | 99.4 | 99.5 | 99.6 | 98.6 | | 1 |
| Method | SoftTop1 | SoftTop2 | SoftTop5 | SoftTop10 | HardTop2 |
| --- | --- | --- | --- | --- | --- |
| Tebessa-C* | 97.6 | 97.9 | 98.3 | 98.5 | 96.1 |
| Multi-feature* | 99.4 | 99.5 | 99.6 | 99.7 | 98.3 | | | Method | Top1 | Top2 | Top5 | Top10 |
| --- | --- | --- | --- | --- |
| Tebessa-C* | 93.1 | 97.0 | 99.5 | 99.5 |
| Delta-nHinge | 93.4 | NA | NA | 98.4 |
| CS-UMD-a* | 95.1 | 97.7 | 98.6 | 99.1 |
| MultiFeature* | 99.2 | 99.6 | 99.8 | 99.8 |
| SRS-LBPl1out8,4 | 96.6 | 98.0 | 99.6 | 99.8 |
| SRS-LBPmetric* | 96.6 | 97.8 | 98.8 | 99.4 |
| SRS-LBPl1out | 98.4 | 99.2 | 99.4 | 99.8 | | 0 |
| Method | SoftTop1 | SoftTop2 | SoftTop5 | SoftTop10 | HardTop2 |
| --- | --- | --- | --- | --- | --- |
| Tebessa-C* | 97.6 | 97.9 | 98.3 | 98.5 | 96.1 |
| Multi-feature* | 99.4 | 99.5 | 99.6 | 99.7 | 98.3 | | | SuperVector | 99.2 | NA | NA | NA | 98.1 |
| --- | --- | --- | --- | --- | --- |
| SRS-LBPl1out8,4 | 99.0 | 99.2 | 99.4 | 99.5 | 97.7 |
| SRS-LBPmetric* | 98.6 | 98.8 | 98.9 | 99.1 | 97.8 |
| SRS-LBPl1out | 99.4 | 99.4 | 99.5 | 99.6 | 98.6 | | 1 |
| Method | SoftTop1 | SoftTop2 | SoftTop5 | SoftTop10 | HardTop2 |
| --- | --- | --- | --- | --- | --- |
| Tebessa-C* | 97.6 | 97.9 | 98.3 | 98.5 | 96.1 |
| Multi-feature* | 99.4 | 99.5 | 99.6 | 99.7 | 98.3 | | | CS-UMD-a* | 95.1 | 97.7 | 98.6 | 99.1 |
| --- | --- | --- | --- | --- |
| MultiFeature* | 99.2 | 99.6 | 99.8 | 99.8 |
| SRS-LBPl1out8,4 | 96.6 | 98.0 | 99.6 | 99.8 |
| SRS-LBPmetric* | 96.6 | 97.8 | 98.8 | 99.4 |
| SRS-LBPl1out | 98.4 | 99.2 | 99.4 | 99.8 | | 0 |
| SaliencyModels | AUC-Judd↑ | SIM↑ | EMD↓ | AUC-Borji↑ | shuffledAUC↑ | CC↑ |
| --- | --- | --- | --- | --- | --- | --- |
| DeepFix(Proposed) | 0.87 | 0.75 | 1.11 | 0.81 | 0.57 | 0.88 | | | ContextAwareSaliency | 0.77 | 0.50 | 3.09 | 0.76 | 0.60 | 0.42 |
| --- | --- | --- | --- | --- | --- | --- |
| JuddModel | 0.84 | 0.46 | 3.61 | 0.84 | 0.56 | 0.54 |
| GBVS | 0.80 | 0.51 | 2.99 | 0.79 | 0.58 | 0.50 | | 1 |
| SaliencyModels | AUC-Judd↑ | SIM↑ | EMD↓ | AUC-Borji↑ | shuffledAUC↑ | CC↑ |
| --- | --- | --- | --- | --- | --- | --- |
| DeepFix(Proposed) | 0.87 | 0.75 | 1.11 | 0.81 | 0.57 | 0.88 | | | Parameter | Single-Speaker | VCTK | LibriSpeech |
| --- | --- | --- | --- |
| FFTSize | 4096 | 4096 | 4096 |
| FFTWindowSize/Shift | 2400/600 | 2400/600 | 1600/400 |
| AudioSampleRate | 48000 | 48000 | 16000 |
| ReductionFactorr | 4 | 4 | 4 |
| MelBands | 80 | 80 | 80 |
| SharpeningFactor | 1.4 | 1.4 | 1.4 |
| CharacterEmbeddingDim. | 256 | 256 | 256 |
| EncoderLayers/Conv.Width/Channels | 7/5/64 | 7/5/128 | 7/5/256 |
| DecoderAffineSize | 128,256 | 128,256 | 128,256 |
| DecoderLayers/Conv.Width | 4/5 | 6/5 | 8/5 |
| AttentionHiddenSize | 128 | 256 | 256 |
| PositionWeight/InitialRate | 1.0/6.3 | 0.1/7.6 | 0.1/2.6 |
| ConverterLayers/Conv.Width/Channels | 5/5/256 | 6/5/256 | 8/5/256 |
| DropoutKeepProbability | 0.95 | 0.95 | 0.99 |
| NumberofSpeakers | 1 | 108 | 2484 |
| SpeakerEmbeddingDim. | - | 16 | 512 |
| ADAMLearningRate | 0.001 | 0.0005 | 0.0005 |
| AnnealRate/AnnealInterval | - | 0.98/30000 | 0.95/30000 |
| BatchSize | 16 | 16 | 16 |
| MaxGradientNorm | 100 | 100 | 50.0 |
| GradientClippingMax.Value | 5 | 5 | 5 | | 0 |
| SaliencyModels | AUC-Judd↑ | SIM↑ | EMD↓ | AUC-Borji↑ | shuffledAUC↑ | CC↑ |
| --- | --- | --- | --- | --- | --- | --- |
| DeepFix(Proposed) | 0.87 | 0.75 | 1.11 | 0.81 | 0.57 | 0.88 |
| ContextAwareSaliency | 0.77 | 0.50 | 3.09 | 0.76 | 0.60 | 0.42 | | | JuddModel | 0.84 | 0.46 | 3.61 | 0.84 | 0.56 | 0.54 |
| --- | --- | --- | --- | --- | --- | --- |
| GBVS | 0.80 | 0.51 | 2.99 | 0.79 | 0.58 | 0.50 | | 1 |
| SaliencyModels | AUC-Judd↑ | SIM↑ | EMD↓ | AUC-Borji↑ | shuffledAUC↑ | CC↑ |
| --- | --- | --- | --- | --- | --- | --- |
| DeepFix(Proposed) | 0.87 | 0.75 | 1.11 | 0.81 | 0.57 | 0.88 |
| ContextAwareSaliency | 0.77 | 0.50 | 3.09 | 0.76 | 0.60 | 0.42 | | | ReductionFactorr | 4 | 4 | 4 |
| --- | --- | --- | --- |
| MelBands | 80 | 80 | 80 |
| SharpeningFactor | 1.4 | 1.4 | 1.4 |
| CharacterEmbeddingDim. | 256 | 256 | 256 |
| EncoderLayers/Conv.Width/Channels | 7/5/64 | 7/5/128 | 7/5/256 |
| DecoderAffineSize | 128,256 | 128,256 | 128,256 |
| DecoderLayers/Conv.Width | 4/5 | 6/5 | 8/5 |
| AttentionHiddenSize | 128 | 256 | 256 |
| PositionWeight/InitialRate | 1.0/6.3 | 0.1/7.6 | 0.1/2.6 |
| ConverterLayers/Conv.Width/Channels | 5/5/256 | 6/5/256 | 8/5/256 |
| DropoutKeepProbability | 0.95 | 0.95 | 0.99 |
| NumberofSpeakers | 1 | 108 | 2484 |
| SpeakerEmbeddingDim. | - | 16 | 512 |
| ADAMLearningRate | 0.001 | 0.0005 | 0.0005 |
| AnnealRate/AnnealInterval | - | 0.98/30000 | 0.95/30000 |
| BatchSize | 16 | 16 | 16 |
| MaxGradientNorm | 100 | 100 | 50.0 |
| GradientClippingMax.Value | 5 | 5 | 5 | | 0 |
| Methods | Year | Dims | LWF | YTF |
| --- | --- | --- | --- | --- |
| DeepFace | 2014 | 4096 | 97.35 | 91.4 |
| LearningFace | 2014 | 10575 | 97.73 | 92.2 |
| MDML-DCPs | 2015 | 1024 | 98.95 | 97.3 |
| FaceNet | 2015 | 128 | 99.63 | 9512 |
| Deepembedding | 2015 | 128 | 99.13 | - |
| Multimodaldeepface | 2015 | 9000 | 98.43 | - |
| CenterLoss | 2016 | 512 | 99.28 | 94.9 |
| Large-marginsoftmax | 2016 | 512 | 98.71 | - | | | SphereFace | 2017 | 512 | 99.42 | 95 |
| --- | --- | --- | --- | --- |
| NeuralAggregation | 2017 | 128 | - | 95.72 | | 1 |
| Methods | Year | Dims | LWF | YTF |
| --- | --- | --- | --- | --- |
| DeepFace | 2014 | 4096 | 97.35 | 91.4 |
| LearningFace | 2014 | 10575 | 97.73 | 92.2 |
| MDML-DCPs | 2015 | 1024 | 98.95 | 97.3 |
| FaceNet | 2015 | 128 | 99.63 | 9512 |
| Deepembedding | 2015 | 128 | 99.13 | - |
| Multimodaldeepface | 2015 | 9000 | 98.43 | - |
| CenterLoss | 2016 | 512 | 99.28 | 94.9 |
| Large-marginsoftmax | 2016 | 512 | 98.71 | - | | | Methods | Dims | Year | VEHICLEID | VERI-776 |
| --- | --- | --- | --- | --- |
| TripletLoss | 400 | 2015 | 0.373 | - |
| SoftmaxLoss | 1024 | 2015 | 0.580 | 0.343 |
| Triplet+SoftmaxLoss | 1024 | 2014 | 0.650 | 0.558 |
| BOW-CN | 100 | 2015 | - | 0.122 |
| CCLVGGM | 1024 | 2016 | 0.386 | - |
| MixedDiff+CCL | 1024 | 2016 | 0.455 | - |
| HDC+Contrastive | 384 | 2017 | 0.575 | - |
| GSTE | 1024 | 2017 | 0.724 | 0.594 | | 0 |
| Methods | Year | Dims | LWF | YTF |
| --- | --- | --- | --- | --- |
| DeepFace | 2014 | 4096 | 97.35 | 91.4 |
| LearningFace | 2014 | 10575 | 97.73 | 92.2 |
| MDML-DCPs | 2015 | 1024 | 98.95 | 97.3 | | | FaceNet | 2015 | 128 | 99.63 | 9512 |
| --- | --- | --- | --- | --- |
| Deepembedding | 2015 | 128 | 99.13 | - |
| Multimodaldeepface | 2015 | 9000 | 98.43 | - |
| CenterLoss | 2016 | 512 | 99.28 | 94.9 |
| Large-marginsoftmax | 2016 | 512 | 98.71 | - |
| SphereFace | 2017 | 512 | 99.42 | 95 |
| NeuralAggregation | 2017 | 128 | - | 95.72 | | 1 |
| Methods | Year | Dims | LWF | YTF |
| --- | --- | --- | --- | --- |
| DeepFace | 2014 | 4096 | 97.35 | 91.4 |
| LearningFace | 2014 | 10575 | 97.73 | 92.2 |
| MDML-DCPs | 2015 | 1024 | 98.95 | 97.3 | | | MixedDiff+CCL | 1024 | 2016 | 0.455 | - |
| --- | --- | --- | --- | --- |
| HDC+Contrastive | 384 | 2017 | 0.575 | - |
| GSTE | 1024 | 2017 | 0.724 | 0.594 | | 0 |
| TEXT | V | V+R | V+R+C | |
| --- | --- | --- | --- | --- |
| ARK | Rec. | 98.05 | 97.60 | 96.98 |
| | Prec. | 94.13 | 95.28 | 96.19 |
| | Amb. | 1.042 | 1.024 | 1.008 |
| HIST | Rec. | 97.03 | 96.52 | 95.62 |
| | Prec. | 94.13 | 92.59 | 94.33 |
| | Amb. | 1.058 | 1.042 | 1.013 |
| MAN | Rec. | 97.03 | 96.47 | 95.84 |
| | Prec. | 91.05 | 93.08 | 94.47 |
| | Amb. | 1.058 | 1.042 | 1.014 |
| EMB | Rec. | 96.51 | 96.47 | 95.37 | | | | Prec. | 91.28 | 93.08 | 94.45 |
| --- | --- | --- | --- | --- |
| | Amb. | 1.057 | 1.036 | 1.009 | | 1 |
| TEXT | V | V+R | V+R+C | |
| --- | --- | --- | --- | --- |
| ARK | Rec. | 98.05 | 97.60 | 96.98 |
| | Prec. | 94.13 | 95.28 | 96.19 |
| | Amb. | 1.042 | 1.024 | 1.008 |
| HIST | Rec. | 97.03 | 96.52 | 95.62 |
| | Prec. | 94.13 | 92.59 | 94.33 |
| | Amb. | 1.058 | 1.042 | 1.013 |
| MAN | Rec. | 97.03 | 96.47 | 95.84 |
| | Prec. | 91.05 | 93.08 | 94.47 |
| | Amb. | 1.058 | 1.042 | 1.014 |
| EMB | Rec. | 96.51 | 96.47 | 95.37 | | | V3 | V2 | V1 |
| --- | --- | --- |
| 54.5 | - | - |
| 76.0 | - | - |
| 74.2 | - | - |
| 78.5 | 83.5 | 79.3 |
| 92.6 | - | - |
| 87.5 | 84.1 | 70.9 |
| 90.7 | 87.5 | 74.0 |
| 93.3 | 85.9 | 77.9 |
| 93.8 | 86.3 | 79.7 |
| 95.3 | 88.7 | 80.2 | | 0 |
| TEXT | V | V+R | V+R+C | |
| --- | --- | --- | --- | --- |
| ARK | Rec. | 98.05 | 97.60 | 96.98 |
| | Prec. | 94.13 | 95.28 | 96.19 |
| | Amb. | 1.042 | 1.024 | 1.008 |
| HIST | Rec. | 97.03 | 96.52 | 95.62 |
| | Prec. | 94.13 | 92.59 | 94.33 |
| | Amb. | 1.058 | 1.042 | 1.013 |
| MAN | Rec. | 97.03 | 96.47 | 95.84 |
| | Prec. | 91.05 | 93.08 | 94.47 | | | | Amb. | 1.058 | 1.042 | 1.014 |
| --- | --- | --- | --- | --- |
| EMB | Rec. | 96.51 | 96.47 | 95.37 |
| | Prec. | 91.28 | 93.08 | 94.45 |
| | Amb. | 1.057 | 1.036 | 1.009 | | 1 |
| TEXT | V | V+R | V+R+C | |
| --- | --- | --- | --- | --- |
| ARK | Rec. | 98.05 | 97.60 | 96.98 |
| | Prec. | 94.13 | 95.28 | 96.19 |
| | Amb. | 1.042 | 1.024 | 1.008 |
| HIST | Rec. | 97.03 | 96.52 | 95.62 |
| | Prec. | 94.13 | 92.59 | 94.33 |
| | Amb. | 1.058 | 1.042 | 1.013 |
| MAN | Rec. | 97.03 | 96.47 | 95.84 |
| | Prec. | 91.05 | 93.08 | 94.47 | | | 90.7 | 87.5 | 74.0 |
| --- | --- | --- |
| 93.3 | 85.9 | 77.9 |
| 93.8 | 86.3 | 79.7 |
| 95.3 | 88.7 | 80.2 | | 0 |
| Class | BSOLO | PBS | Pueblo | Minisat+ | SAT4J(PB) | WBO |
| --- | --- | --- | --- | --- | --- | --- |
| IND | 17 | 0 | 0 | 0 | 60 | 110 | | | FIR | 20 | 11 | 14 | 22 | 7 | 39 |
| --- | --- | --- | --- | --- | --- | --- |
| SYN | 51 | 19 | 30 | 30 | 22 | 33 |
| Total(Outof243) | 88 | 30 | 44 | 52 | 89 | 172 | | 1 |
| Class | BSOLO | PBS | Pueblo | Minisat+ | SAT4J(PB) | WBO |
| --- | --- | --- | --- | --- | --- | --- |
| IND | 17 | 0 | 0 | 0 | 60 | 110 | | | Class | WMaxSatz | MiniMaxSat | IncWMaxSatz | Clone | SAT4J | MSUncore |
| --- | --- | --- | --- | --- | --- | --- |
| IND | 99 | 110 | 0 | 110 | 100 | 0 |
| FIR | 52 | 45 | 33 | 54 | 49 | 14 |
| SYN | 52 | 45 | 55 | 61 | 53 | 40 |
| Total(Outof243 | 203 | 200 | 88 | 225 | 202 | 54 | | 0 |
| Class | BSOLO | PBS | Pueblo | Minisat+ | SAT4J(PB) | WBO |
| --- | --- | --- | --- | --- | --- | --- |
| IND | 17 | 0 | 0 | 0 | 60 | 110 |
| FIR | 20 | 11 | 14 | 22 | 7 | 39 | | | SYN | 51 | 19 | 30 | 30 | 22 | 33 |
| --- | --- | --- | --- | --- | --- | --- |
| Total(Outof243) | 88 | 30 | 44 | 52 | 89 | 172 | | 1 |
| Class | BSOLO | PBS | Pueblo | Minisat+ | SAT4J(PB) | WBO |
| --- | --- | --- | --- | --- | --- | --- |
| IND | 17 | 0 | 0 | 0 | 60 | 110 |
| FIR | 20 | 11 | 14 | 22 | 7 | 39 | | | SYN | 52 | 45 | 55 | 61 | 53 | 40 |
| --- | --- | --- | --- | --- | --- | --- |
| Total(Outof243 | 203 | 200 | 88 | 225 | 202 | 54 | | 0 |
| Dataset | Restaurants | Laptops |
| --- | --- | --- |
| No-Target | 0.772 | 0.708 |
| No-Interaction | 0.769 | 0.706 | | | Target2Content | 0.775 | 0.712 |
| --- | --- | --- |
| IAN | 0.786 | 0.721 | | 1 |
| Dataset | Restaurants | Laptops |
| --- | --- | --- |
| No-Target | 0.772 | 0.708 |
| No-Interaction | 0.769 | 0.706 | | | Dataset | MBSGD | ASSGD | ASHR |
| --- | --- | --- | --- |
| MNIST | 0.179s | 0.208s | 0.205s |
| URL | 0.080s | 0.092s | 0.092s |
| CIFAR10 | 0.245s | 0.295s | 0.296s |
| CIFAR-DA | 0.110s | 0.119s | 0.119s | | 0 |
| Dataset | Restaurants | Laptops |
| --- | --- | --- |
| No-Target | 0.772 | 0.708 | | | No-Interaction | 0.769 | 0.706 |
| --- | --- | --- |
| Target2Content | 0.775 | 0.712 |
| IAN | 0.786 | 0.721 | | 1 |
| Dataset | Restaurants | Laptops |
| --- | --- | --- |
| No-Target | 0.772 | 0.708 | | | URL | 0.080s | 0.092s | 0.092s |
| --- | --- | --- | --- |
| CIFAR10 | 0.245s | 0.295s | 0.296s |
| CIFAR-DA | 0.110s | 0.119s | 0.119s | | 0 |
| Functions | MBA | TSSW | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| R100 | C160 | F66 | R100 | C160 | F66 | |
| g | 5.000 | 2.467 | 5.188 | 4.959 | 2.155 | 4.666 | | | g2 | 5.032 | 2.466 | 5.197 | 4.978 | 2.153 | 4.659 |
| --- | --- | --- | --- | --- | --- | --- |
| g3 | 5.028 | 2.451 | 5.183 | 4.968 | 2.189 | 4.644 |
| g4 | 5.044 | 2.469 | 5.172 | 4.991 | 2.168 | 4.703 |
| g5 | 5.002 | 2.458 | 5.179 | 4.979 | 2.170 | 4.743 | | 1 |
| Functions | MBA | TSSW | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| R100 | C160 | F66 | R100 | C160 | F66 | |
| g | 5.000 | 2.467 | 5.188 | 4.959 | 2.155 | 4.666 | | | Year | Acc. | Opt. | Base. | Opt.t | TN | TP | FN | FP | Total |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1999 | 0.5000 | 0.7500 | 0.7500 | 0 | 0 | 4 | 2 | 2 | 8 |
| 2000 | 0.6000 | 0.7000 | 0.7000 | 0 | 0 | 6 | 1 | 3 | 10 |
| 2001 | 0.5333 | 0.6667 | 0.5333 | 57 | 3 | 5 | 3 | 4 | 15 |
| 2003 | 0.2222 | 0.5556 | 0.5556 | 0 | 0 | 2 | 3 | 4 | 9 |
| 2004 | 0.6000 | 0.6000 | 0.5000 | 15 | 3 | 3 | 2 | 2 | 10 |
| 2005 | 0.6471 | 0.6471 | 0.5882 | 327 | 9 | 2 | 5 | 1 | 17 |
| 2006 | 0.2143 | 0.5714 | 0.5714 | 39 | 3 | 0 | 6 | 5 | 14 |
| 2007 | 0.2000 | 0.6000 | 0.6000 | 10 | 3 | 0 | 6 | 6 | 15 |
| 2008 | 0.5000 | 0.5714 | 0.5000 | 2775 | 6 | 1 | 6 | 1 | 14 |
| 2009 | 0.4545 | 0.5455 | 0.6364 | 382 | 5 | 0 | 4 | 2 | 11 |
| 2010 | 0.5714 | 0.6190 | 0.5714 | 326 | 11 | 1 | 8 | 1 | 21 |
| 2011 | 0.3889 | 0.6111 | 0.5556 | 1 | 2 | 5 | 5 | 6 | 18 |
| 2012 | 0.4118 | 0.6471 | 0.6471 | 41 | 7 | 0 | 6 | 4 | 17 |
| 2013 | 0.7895 | 0.8421 | 0.7895 | 823 | 14 | 1 | 3 | 1 | 19 |
| 2014 | 0.6154 | 0.6923 | 0.7692 | 123 | 8 | 0 | 3 | 2 | 13 |
| 2015 | 0.7273 | 0.8182 | 0.7273 | 1028 | 7 | 1 | 2 | 1 | 11 |
| 2016 | 0.5882 | 0.6471 | 0.5882 | 35 | 9 | 1 | 6 | 1 | 17 |
| All | 0.5105 | 0.6527 | - | - | 90 | 32 | 71 | 46 | 239 | | 0 |
| Functions | MBA | TSSW | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| R100 | C160 | F66 | R100 | C160 | F66 | |
| g | 5.000 | 2.467 | 5.188 | 4.959 | 2.155 | 4.666 | | | g2 | 5.032 | 2.466 | 5.197 | 4.978 | 2.153 | 4.659 |
| --- | --- | --- | --- | --- | --- | --- |
| g3 | 5.028 | 2.451 | 5.183 | 4.968 | 2.189 | 4.644 |
| g4 | 5.044 | 2.469 | 5.172 | 4.991 | 2.168 | 4.703 |
| g5 | 5.002 | 2.458 | 5.179 | 4.979 | 2.170 | 4.743 | | 1 |
| Functions | MBA | TSSW | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| R100 | C160 | F66 | R100 | C160 | F66 | |
| g | 5.000 | 2.467 | 5.188 | 4.959 | 2.155 | 4.666 | | | 2001 | 0.5333 | 0.6667 | 0.5333 | 57 | 3 | 5 | 3 | 4 | 15 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 2003 | 0.2222 | 0.5556 | 0.5556 | 0 | 0 | 2 | 3 | 4 | 9 |
| 2004 | 0.6000 | 0.6000 | 0.5000 | 15 | 3 | 3 | 2 | 2 | 10 |
| 2005 | 0.6471 | 0.6471 | 0.5882 | 327 | 9 | 2 | 5 | 1 | 17 |
| 2006 | 0.2143 | 0.5714 | 0.5714 | 39 | 3 | 0 | 6 | 5 | 14 |
| 2007 | 0.2000 | 0.6000 | 0.6000 | 10 | 3 | 0 | 6 | 6 | 15 |
| 2008 | 0.5000 | 0.5714 | 0.5000 | 2775 | 6 | 1 | 6 | 1 | 14 |
| 2009 | 0.4545 | 0.5455 | 0.6364 | 382 | 5 | 0 | 4 | 2 | 11 |
| 2010 | 0.5714 | 0.6190 | 0.5714 | 326 | 11 | 1 | 8 | 1 | 21 |
| 2011 | 0.3889 | 0.6111 | 0.5556 | 1 | 2 | 5 | 5 | 6 | 18 |
| 2012 | 0.4118 | 0.6471 | 0.6471 | 41 | 7 | 0 | 6 | 4 | 17 |
| 2013 | 0.7895 | 0.8421 | 0.7895 | 823 | 14 | 1 | 3 | 1 | 19 |
| 2014 | 0.6154 | 0.6923 | 0.7692 | 123 | 8 | 0 | 3 | 2 | 13 |
| 2015 | 0.7273 | 0.8182 | 0.7273 | 1028 | 7 | 1 | 2 | 1 | 11 |
| 2016 | 0.5882 | 0.6471 | 0.5882 | 35 | 9 | 1 | 6 | 1 | 17 |
| All | 0.5105 | 0.6527 | - | - | 90 | 32 | 71 | 46 | 239 | | 0 |
| Selection | Crossover | Initialpopulation | | | |
| --- | --- | --- | --- | --- | --- |
| | | | | | |
| DirectElim. | 1-Point | 0.81 | 0.71 | 0.84 | 0.85 |
| | | | | | |
| | | | | | |
| | | | | | |
| RouletteWheel | 1-Point | 0.83 | 0.74 | 0.91 | 0.91 |
| | | | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- |
| | | | | | |
| Stoch.Un.S. | 1-Point | 0.81 | 0.76 | 0.91 | 0.91 |
| | | | | | |
| | | | | | |
| | | | | | |
| Tournament | 1-Point | 0.85 | 0.73 | 0.88 | 0.89 |
| | | | | | |
| | | | | | |
| | | | | | | | 1 |
| Selection | Crossover | Initialpopulation | | | |
| --- | --- | --- | --- | --- | --- |
| | | | | | |
| DirectElim. | 1-Point | 0.81 | 0.71 | 0.84 | 0.85 |
| | | | | | |
| | | | | | |
| | | | | | |
| RouletteWheel | 1-Point | 0.83 | 0.74 | 0.91 | 0.91 |
| | | | | | | | | Team | ML | BM | EB1 | EB2 |
| --- | --- | --- | --- | --- |
| T-1 | 0.45 | 0.51 | 0.52 | 0.60 |
| T-2 | 0.22 | 0.45 | 0.38 | 0.43 |
| T-3 | 0.30 | 0.40 | 0.47 | 0.66 |
| T-4 | 0.26 | 0.44 | 0.42 | 0.44 |
| T-5 | 0.26 | 0.45 | 0.45 | 0.56 |
| T-6 | 0.5 | 0.49 | 0.55 | 0.7 |
| T-7 | 0.45 | 0.53 | 0.56 | 0.66 |
| T-8 | 0.42 | 0.61 | 0.58 | 0.74 |
| T-9 | 0.41 | 0.50 | 0.53 | 0.76 |
| T-10 | 0.30 | 0.42 | 0.41 | 0.41 |
| T-11 | 0.37 | 0.44 | 0.5 | 0.73 |
| T-12 | 0.24 | 0.43 | 0.36 | 0.52 |
| T-13 | 0.35 | 0.63 | 0.64 | 0.75 |
| T-14 | 0.42 | 0.52 | 0.53 | 0.67 |
| T-15 | 0.30 | 0.38 | 0.55 | 0.64 |
| T-16 | 0.43 | 0.48 | 0.55 | 0.65 |
| T-17 | 0.42 | 0.58 | 0.58 | 0.68 |
| T-18 | 0.48 | 0.50 | 0.52 | 0.65 |
| T-19 | 0.41 | 0.51 | 0.56 | 0.68 |
| T-20 | 0.48 | 0.51 | 0.64 | 0.71 | | 0 |
| Selection | Crossover | Initialpopulation | | | |
| --- | --- | --- | --- | --- | --- |
| | | | | | |
| DirectElim. | 1-Point | 0.81 | 0.71 | 0.84 | 0.85 |
| | | | | | |
| | | | | | |
| | | | | | |
| RouletteWheel | 1-Point | 0.83 | 0.74 | 0.91 | 0.91 |
| | | | | | |
| | | | | | |
| | | | | | |
| Stoch.Un.S. | 1-Point | 0.81 | 0.76 | 0.91 | 0.91 |
| | | | | | |
| | | | | | |
| | | | | | | | | Tournament | 1-Point | 0.85 | 0.73 | 0.88 | 0.89 |
| --- | --- | --- | --- | --- | --- |
| | | | | | |
| | | | | | |
| | | | | | | | 1 |
| Selection | Crossover | Initialpopulation | | | |
| --- | --- | --- | --- | --- | --- |
| | | | | | |
| DirectElim. | 1-Point | 0.81 | 0.71 | 0.84 | 0.85 |
| | | | | | |
| | | | | | |
| | | | | | |
| RouletteWheel | 1-Point | 0.83 | 0.74 | 0.91 | 0.91 |
| | | | | | |
| | | | | | |
| | | | | | |
| Stoch.Un.S. | 1-Point | 0.81 | 0.76 | 0.91 | 0.91 |
| | | | | | |
| | | | | | |
| | | | | | | | | T-2 | 0.22 | 0.45 | 0.38 | 0.43 |
| --- | --- | --- | --- | --- |
| T-3 | 0.30 | 0.40 | 0.47 | 0.66 |
| T-4 | 0.26 | 0.44 | 0.42 | 0.44 |
| T-5 | 0.26 | 0.45 | 0.45 | 0.56 |
| T-6 | 0.5 | 0.49 | 0.55 | 0.7 |
| T-7 | 0.45 | 0.53 | 0.56 | 0.66 |
| T-8 | 0.42 | 0.61 | 0.58 | 0.74 |
| T-9 | 0.41 | 0.50 | 0.53 | 0.76 |
| T-10 | 0.30 | 0.42 | 0.41 | 0.41 |
| T-11 | 0.37 | 0.44 | 0.5 | 0.73 |
| T-12 | 0.24 | 0.43 | 0.36 | 0.52 |
| T-13 | 0.35 | 0.63 | 0.64 | 0.75 |
| T-14 | 0.42 | 0.52 | 0.53 | 0.67 |
| T-15 | 0.30 | 0.38 | 0.55 | 0.64 |
| T-16 | 0.43 | 0.48 | 0.55 | 0.65 |
| T-17 | 0.42 | 0.58 | 0.58 | 0.68 |
| T-18 | 0.48 | 0.50 | 0.52 | 0.65 |
| T-19 | 0.41 | 0.51 | 0.56 | 0.68 |
| T-20 | 0.48 | 0.51 | 0.64 | 0.71 | | 0 |
| TSS | P1 | P2 | P3 | P4 | P5 |
| --- | --- | --- | --- | --- | --- |
| N/5 | 0.2016 | 0.2131 | 0.2159 | 0.2167 | 0.2252 |
| 2N/5 | 0.1975 | 0.2111 | 0.2125 | 0.2142 | 0.2198 | | | 3N/5 | 0.1958 | 0.2094 | 0.2114 | 0.2132 | 0.2183 |
| --- | --- | --- | --- | --- | --- |
| 4N/5 | 0.1944 | 0.2085 | 0.2115 | 0.2119 | 0.2167 | | 1 |
| TSS | P1 | P2 | P3 | P4 | P5 |
| --- | --- | --- | --- | --- | --- |
| N/5 | 0.2016 | 0.2131 | 0.2159 | 0.2167 | 0.2252 |
| 2N/5 | 0.1975 | 0.2111 | 0.2125 | 0.2142 | 0.2198 | | | TSS | P1 | P2 | P3 | P4 | P5 |
| --- | --- | --- | --- | --- | --- |
| N/5 | 0.2174 | 0.2465 | 0.2515 | 0.2565 | 0.2631 |
| 2N/5 | 0.2114 | 0.2468 | 0.2491 | 0.2557 | 0.2602 |
| 3N/5 | 0.21 | 0.245 | 0.2482 | 0.2554 | 0.2587 |
| 4N/5 | 0.2092 | 0.2449 | 0.2463 | 0.2539 | 0.2582 | | 0 |
| TSS | P1 | P2 | P3 | P4 | P5 |
| --- | --- | --- | --- | --- | --- |
| N/5 | 0.2016 | 0.2131 | 0.2159 | 0.2167 | 0.2252 |
| 2N/5 | 0.1975 | 0.2111 | 0.2125 | 0.2142 | 0.2198 | | | 3N/5 | 0.1958 | 0.2094 | 0.2114 | 0.2132 | 0.2183 |
| --- | --- | --- | --- | --- | --- |
| 4N/5 | 0.1944 | 0.2085 | 0.2115 | 0.2119 | 0.2167 | | 1 |
| TSS | P1 | P2 | P3 | P4 | P5 |
| --- | --- | --- | --- | --- | --- |
| N/5 | 0.2016 | 0.2131 | 0.2159 | 0.2167 | 0.2252 |
| 2N/5 | 0.1975 | 0.2111 | 0.2125 | 0.2142 | 0.2198 | | | 2N/5 | 0.2114 | 0.2468 | 0.2491 | 0.2557 | 0.2602 |
| --- | --- | --- | --- | --- | --- |
| 3N/5 | 0.21 | 0.245 | 0.2482 | 0.2554 | 0.2587 |
| 4N/5 | 0.2092 | 0.2449 | 0.2463 | 0.2539 | 0.2582 | | 0 |
| | DSTC2 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Skip<br>Thought | Embedding<br>Average | Vector<br>Extrema | Greedy<br>Matching | Skip<br>Thought | Embedding<br>Average | Vector<br>Extrema | |
| Gold | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | | | Random | 0.906 | 0.981 | 0.910 | 0.947 | 0.843 | 0.957 | 0.905 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| LSTM | 0.946 | 0.985 | 0.935 | 0.962 | 0.945 | 0.997 | 0.986 |
| d-scLSTM | 0.925 | 0.984 | 0.926 | 0.957 | 0.948 | 0.997 | 0.986 |
| hld-scLSTM | 0.932 | 0.987 | 0.942 | 0.964 | 0.968 | 0.997 | 0.989 | | 1 |
| | DSTC2 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Skip<br>Thought | Embedding<br>Average | Vector<br>Extrema | Greedy<br>Matching | Skip<br>Thought | Embedding<br>Average | Vector<br>Extrema | |
| Gold | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | | | | 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 |
| | DSTC2 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Skip<br>Thought | Embedding<br>Average | Vector<br>Extrema | Greedy<br>Matching | Skip<br>Thought | Embedding<br>Average | Vector<br>Extrema | |
| Gold | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | | | Random | 0.906 | 0.981 | 0.910 | 0.947 | 0.843 | 0.957 | 0.905 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| LSTM | 0.946 | 0.985 | 0.935 | 0.962 | 0.945 | 0.997 | 0.986 |
| d-scLSTM | 0.925 | 0.984 | 0.926 | 0.957 | 0.948 | 0.997 | 0.986 |
| hld-scLSTM | 0.932 | 0.987 | 0.942 | 0.964 | 0.968 | 0.997 | 0.989 | | 1 |
| | DSTC2 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Skip<br>Thought | Embedding<br>Average | Vector<br>Extrema | Greedy<br>Matching | Skip<br>Thought | Embedding<br>Average | Vector<br>Extrema | |
| Gold | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | | | 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 |
| Symbol | Definition |
| --- | --- |
| )G=(V,E0G0 | \|truegraphwithn=\|V\|andm=\|EG0 |
| G=(V,E,p) | uncertaingraphconstructedfromG0 |
| G=(V,E)G | samplegraphfromG,G(cid:118)G | | | d(G),d(G)uu | degreeofnodeuinG,G |
| --- | --- |
| ∆(d) | numberofnodeshavingdegreedinG |
| N(u) | neighborsofnodeuinG |
| Rσ | truncatednormaldistributionon[0,1] |
| r←Reσ | asamplefromthedistributionRσ |
| p(p)iuv | probabilityofedgee(e)iuv |
| np | numberofpotentialedges,\|E\|=m+np |
| A,A | adjacencymatricesofG,G0 |
| PRW | randomwalktransitionmatrixofG0 |
| B | uncertainadjacencymatrix,B=AP |
| t | walklength |
| S | switchingmatrix |
| TV | totaldegreevariance | | 1 |
| Symbol | Definition |
| --- | --- |
| )G=(V,E0G0 | \|truegraphwithn=\|V\|andm=\|EG0 |
| G=(V,E,p) | uncertaingraphconstructedfromG0 |
| G=(V,E)G | samplegraphfromG,G(cid:118)G | | | Variable | Description |
| --- | --- |
| V | setofnodesinagraph |
| E | setofedgesinagraph |
| B(e) | edgecapacityforedgee |
| C(v) | nodecapacityfornodev |
| D | thesetofflowdemands |
| δ(v) | theedgesleavingvertexv |
| δ(v) | theedgesenteringvertexv |
| P | thesetofwalksfromsourcestodestinations |
| p<br>i,π | walk-based;theamountofflowifromstotii<br>exactlyusingwalkπandprocessedatv |
| f(e)i | edge-based;theamountofflowithat<br>traverseseonitswayfromstotii |
| w(e)i | edge-based;theamountofunprocessedflowi<br>thattraverseseonitswayfromstotii |
| p(v)i | edge-based;theamountofprocessingdoneat<br>nodevfortheithflow | | 0 |
| Symbol | Definition |
| --- | --- |
| )G=(V,E0G0 | \|truegraphwithn=\|V\|andm=\|EG0 |
| G=(V,E,p) | uncertaingraphconstructedfromG0 |
| G=(V,E)G | samplegraphfromG,G(cid:118)G |
| d(G),d(G)uu | degreeofnodeuinG,G |
| ∆(d) | numberofnodeshavingdegreedinG |
| N(u) | neighborsofnodeuinG |
| Rσ | truncatednormaldistributionon[0,1] |
| r←Reσ | asamplefromthedistributionRσ | | | p(p)iuv | probabilityofedgee(e)iuv |
| --- | --- |
| np | numberofpotentialedges,\|E\|=m+np |
| A,A | adjacencymatricesofG,G0 |
| PRW | randomwalktransitionmatrixofG0 |
| B | uncertainadjacencymatrix,B=AP |
| t | walklength |
| S | switchingmatrix |
| TV | totaldegreevariance | | 1 |
| Symbol | Definition |
| --- | --- |
| )G=(V,E0G0 | \|truegraphwithn=\|V\|andm=\|EG0 |
| G=(V,E,p) | uncertaingraphconstructedfromG0 |
| G=(V,E)G | samplegraphfromG,G(cid:118)G |
| d(G),d(G)uu | degreeofnodeuinG,G |
| ∆(d) | numberofnodeshavingdegreedinG |
| N(u) | neighborsofnodeuinG |
| Rσ | truncatednormaldistributionon[0,1] |
| r←Reσ | asamplefromthedistributionRσ | | | w(e)i | edge-based;theamountofunprocessedflowi<br>thattraverseseonitswayfromstotii |
| --- | --- |
| p(v)i | edge-based;theamountofprocessingdoneat<br>nodevfortheithflow | | 0 |
| CPUModel | IntelXeonE5-2690 |
| --- | --- |
| CPUCores | 8 |
| DRAMSize | 128GB |
| GPUModel | TeslaK20c |
| DeviceMemorySize | 5GBGDDR5 | | | SMsandSPs | 13and192 |
| --- | --- |
| ComputeCapability | 3.5 |
| CUDASDK | 7.5 |
| PCIeBus | PCIex16Gen2 | | 1 |
| CPUModel | IntelXeonE5-2690 |
| --- | --- |
| CPUCores | 8 |
| DRAMSize | 128GB |
| GPUModel | TeslaK20c |
| DeviceMemorySize | 5GBGDDR5 | | | CPUModel | IntelXeonE5-2690 |
| --- | --- |
| CPUCores | 8 |
| DRAMSize | 128GB |
| GPUModel | TeslaK20c |
| DeviceMemorySize | 5GBGDDR5 |
| SMsandSPs | 13and192 |
| ComputeCapability | 3.5 |
| CUDASDK | 7.5 |
| PCIeBus | PCIex16Gen2 | | 0 |
| CPUModel | IntelXeonE5-2690 |
| --- | --- |
| CPUCores | 8 |
| DRAMSize | 128GB |
| GPUModel | TeslaK20c |
| DeviceMemorySize | 5GBGDDR5 |
| SMsandSPs | 13and192 |
| ComputeCapability | 3.5 | | | CUDASDK | 7.5 |
| --- | --- |
| PCIeBus | PCIex16Gen2 | | 1 |
| CPUModel | IntelXeonE5-2690 |
| --- | --- |
| CPUCores | 8 |
| DRAMSize | 128GB |
| GPUModel | TeslaK20c |
| DeviceMemorySize | 5GBGDDR5 |
| SMsandSPs | 13and192 |
| ComputeCapability | 3.5 | | | DeviceMemorySize | 5GBGDDR5 |
| --- | --- |
| SMsandSPs | 13and192 |
| ComputeCapability | 3.5 |
| CUDASDK | 7.5 |
| PCIeBus | PCIex16Gen2 | | 0 |
| record | Name | Matches | Runs | Highest | Source |
| --- | --- | --- | --- | --- | --- |
| r3 | YajurvindraSingh | 4 | 109 | 43 | s1 |
| r6 | YuvrajSingh | 40 | 1900 | 169 | s2 | | | r9 | YograjSingh | 1 | 10 | 6 | s3 |
| --- | --- | --- | --- | --- | --- |
| r10 | YSingh | 40 | 1900 | 169 | s4 | | 1 |
| record | Name | Matches | Runs | Highest | Source |
| --- | --- | --- | --- | --- | --- |
| r3 | YajurvindraSingh | 4 | 109 | 43 | s1 |
| r6 | YuvrajSingh | 40 | 1900 | 169 | s2 | | | record | Name | Matches | Runs | Highest | Source |
| --- | --- | --- | --- | --- | --- |
| r1 | SMGavaskar | 125 | 10122 | 236 | s1 |
| r2 | LalaAmarnath | 24 | 878 | 118 | s1 |
| r3 | YajurvindraSingh | 4 | 109 | 43 | s1 |
| r4 | Gavaskar | 125 | 10122 | 236 | s2 |
| r5 | MohinderAmarnath | 69 | 4378 | 138 | s2 |
| r6 | YuvrajSingh | 40 | 1900 | 169 | s2 |
| r7 | SunilGavaskar | 125 | 10122 | 236 | s3 |
| r8 | SurinderAmarnath | 10 | 550 | 124 | s3 |
| r9 | YograjSingh | 1 | 10 | 6 | s3 |
| r10 | YSingh | 40 | 1900 | 169 | s4 | | 0 |
| record | Name | Matches | Runs | Highest | Source |
| --- | --- | --- | --- | --- | --- |
| r3 | YajurvindraSingh | 4 | 109 | 43 | s1 | | | r6 | YuvrajSingh | 40 | 1900 | 169 | s2 |
| --- | --- | --- | --- | --- | --- |
| r9 | YograjSingh | 1 | 10 | 6 | s3 |
| r10 | YSingh | 40 | 1900 | 169 | s4 | | 1 |
| record | Name | Matches | Runs | Highest | Source |
| --- | --- | --- | --- | --- | --- |
| r3 | YajurvindraSingh | 4 | 109 | 43 | s1 | | | r8 | SurinderAmarnath | 10 | 550 | 124 | s3 |
| --- | --- | --- | --- | --- | --- |
| r9 | YograjSingh | 1 | 10 | 6 | s3 |
| r10 | YSingh | 40 | 1900 | 169 | s4 | | 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 | | 1 |
| | 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 | | | Classes | NumberofImages | PercentofDataset |
| --- | --- | --- |
| Chores | 725 | 1.79 |
| Driving | 1031 | 2.54 |
| Cooking | 759 | 1.87 |
| Exercising | 502 | 1.24 |
| Reading | 1414 | 3.48 |
| Presentation | 848 | 2.09 |
| Dogs | 1149 | 2.83 |
| Resting | 106 | 0.26 |
| Eating | 4699 | 11.58 |
| Working | 13895 | 34.24 |
| Chatting | 113 | 0.28 |
| TV | 1584 | 3.90 |
| Meeting | 1312 | 3.23 |
| Cleaning | 642 | 1.59 |
| Socializing | 970 | 2.39 |
| Shopping | 606 | 1.49 |
| Biking | 696 | 1.71 |
| Family | 8267 | 20.37 |
| Hygiene | 1266 | 3.12 | | 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 | | 1 |
| | kNN | RDF | CNN | CNN+LF |
| --- | --- | --- | --- | --- |
| Chores | 33.10 | 17.24 | 00.69 | 20.00 |
| Driving | 55.07 | 60.87 | 98.55 | 96.62 | | | Cleaning | 642 | 1.59 |
| --- | --- | --- |
| Socializing | 970 | 2.39 |
| Shopping | 606 | 1.49 |
| Biking | 696 | 1.71 |
| Family | 8267 | 20.37 |
| Hygiene | 1266 | 3.12 | | 0 |
| 1x8100(HOGFeatureofimage1) |
| --- |
| 1x8100(HOGFeatureofimage2) |
| 1x8100(HOGFeatureofimage3) |
| 1x8100(HOGFeatureofimage4) |
| ............ |
| ............ |
| ............ | | | ............ |
| --- |
| 1x8100(HOGFeatureofimage(N-1)) |
| 1x8100(HOGFeatureofimageN) | | 1 |
| 1x8100(HOGFeatureofimage1) |
| --- |
| 1x8100(HOGFeatureofimage2) |
| 1x8100(HOGFeatureofimage3) |
| 1x8100(HOGFeatureofimage4) |
| ............ |
| ............ |
| ............ | | | image | base | mtbdd<br>(1)(2) |
| --- | --- | --- |
| image0 | 3574 | 134.612236 |
| image1 | 32.01 | 1.7841.90 |
| image2 | 350.72 | 13.88285.48 |
| image3 | 4000 | 214.641898.21 |
| image4 | sameasimage3 | 148.95533.52 | | 0 |
| 1x8100(HOGFeatureofimage1) |
| --- |
| 1x8100(HOGFeatureofimage2) |
| 1x8100(HOGFeatureofimage3) |
| 1x8100(HOGFeatureofimage4) | | | ............ |
| --- |
| ............ |
| ............ |
| ............ |
| 1x8100(HOGFeatureofimage(N-1)) |
| 1x8100(HOGFeatureofimageN) | | 1 |
| 1x8100(HOGFeatureofimage1) |
| --- |
| 1x8100(HOGFeatureofimage2) |
| 1x8100(HOGFeatureofimage3) |
| 1x8100(HOGFeatureofimage4) | | | image2 | 350.72 | 13.88285.48 |
| --- | --- | --- |
| image3 | 4000 | 214.641898.21 |
| image4 | sameasimage3 | 148.95533.52 | | 0 |
| Type | CodeParameters | Ref. |
| --- | --- | --- |
| MBCR | n≥d+t,d≥k,t≥1 | | | | MBCR | n=d+t,d=k,t≥1 | |
| --- | --- | --- |
| MBCR | n=d+t,d≥k,t≥1 | |
| MSCR | n=d+2,k=t=2 | |
| MSCR | n=2k,d=n−2,k≥2,t=2 | |
| MSCR | n=2k,d=n−t,k≥2,k≥t≥2<br>(repairofsystematicnodesonly) | | | 1 |
| Type | CodeParameters | Ref. |
| --- | --- | --- |
| MBCR | n≥d+t,d≥k,t≥1 | | | | Code(n=2k-1,d=2k-2) | k=4 | k=8 | k=16 |
| --- | --- | --- | --- |
| VanillaPMMSR(non-systematic) | 50 | 75 | 87 |
| SparsePMMSR(non-systematic) | 64 | 85 | 93 |
| VanillaPMMSR(systematic) | 0 | 0 | 0 |
| SparsePMMSR(systematic) | 50 | 75 | 88 | | 0 |
| Type | CodeParameters | Ref. |
| --- | --- | --- |
| MBCR | n≥d+t,d≥k,t≥1 | | | | MBCR | n=d+t,d=k,t≥1 | |
| --- | --- | --- |
| MBCR | n=d+t,d≥k,t≥1 | |
| MSCR | n=d+2,k=t=2 | |
| MSCR | n=2k,d=n−2,k≥2,t=2 | |
| MSCR | n=2k,d=n−t,k≥2,k≥t≥2<br>(repairofsystematicnodesonly) | | | 1 |
| Type | CodeParameters | Ref. |
| --- | --- | --- |
| MBCR | n≥d+t,d≥k,t≥1 | | | | VanillaPMMSR(systematic) | 0 | 0 | 0 |
| --- | --- | --- | --- |
| SparsePMMSR(systematic) | 50 | 75 | 88 | | 0 |
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