premise string | hypothesis string | label int64 |
|---|---|---|
| Methods | Lin | SF | IGP | SF-Physical | OurSF-sa |
| --- | --- | --- | --- | --- | --- |
| | 1.69\|1.00\|2.84 | 1.60\|0.99\|2.32 | 1.57\|1.14\|2.64 | 1.56\|0.86\|1.83 | 1.53\|0.84\|1.81 |
| | 1.17\|1.01\|1.81 | 1.11\|0.82\|1.70 | 1.11\|0.81\|2.25 | 1.12\|0.81\|1.70 | 1.12\|0.83\|1.70 |
| | 0,91\|0.83\|1.03 | 0.80\|0.81\|0.89 | 1.33\|0.85\|2.61 | 0.79\|0.81\|0.89 | 0.78\|0.82\|0.89 | | | | 1.72\|1.10\|3.80 | 1.38\|0.89\|2.30 | 0.95\|0.69\|1.78 | 1.37\|0.65\|2.30 | 1.37\|0.60\|2.30 |
| --- | --- | --- | --- | --- | --- |
| | 1.02\|0.75\|2.00 | 0.94\|0.41\|1.66 | 0.96\|0.69\|1.67 | 0.90\|0.40\|1.51 | 0.89\|0.36\|1.51 |
| | 1.38\|0.86\|2.45 | 1.29\|0.87\|2.02 | 1.20\|0.75\|2.46 | 1.01\|0.65\|1.65 | 0.99\|0.66\|1.65 |
| | 1.32\|0.93\|2.32 | 1.29\|0.79\|1.82 | 1.19\|0.82\|2.24 | 1.14\|0.70\|1.65 | 1.11\|0.69\|1.64 | | 1 |
| Methods | Lin | SF | IGP | SF-Physical | OurSF-sa |
| --- | --- | --- | --- | --- | --- |
| | 1.69\|1.00\|2.84 | 1.60\|0.99\|2.32 | 1.57\|1.14\|2.64 | 1.56\|0.86\|1.83 | 1.53\|0.84\|1.81 |
| | 1.17\|1.01\|1.81 | 1.11\|0.82\|1.70 | 1.11\|0.81\|2.25 | 1.12\|0.81\|1.70 | 1.12\|0.83\|1.70 |
| | 0,91\|0.83\|1.03 | 0.80\|0.81\|0.89 | 1.33\|0.85\|2.61 | 0.79\|0.81\|0.89 | 0.78\|0.82\|0.89 | | | measure | P@5 | P@10 | P@20 | NDCG@5 | NDCG@10 | NDCG@20 | MAP | bpref |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | 0.4941 | 0.3824 | 0.2853 | 0.5068 | 0.4248 | 0.3416 | 0.1608 | 0.8536 |
| | 0.3176 | 0.2706 | 0.2118 | 0.3525 | 0.3075 | 0.253 | 0.1151 | 0.7303 |
| | 0.4353 | 0.3471 | 0.2912 | 0.4553 | 0.3871 | 0.3336 | 0.1548 | 0.7590 |
| | 0.6941 | 0.5741 | 0.4235 | 0.7181 | 0.6386 | 0.5024 | 0.291 | 0.8843 |
| | 0.0353 | 0.0294 | 0.0265 | 0.0354 | 0.0317 | 0.0289 | 0.005 | 0.6331 |
| | 0.6235 | 0.4176 | 0.2882 | 0.6447 | 0.4913 | 0.3725 | 0.1579 | 0.9704 |
| | 0.7059 | 0.5882 | 0.4529 | 0.7548 | 0.6549 | 0.5361 | 0.311 | 0.8676 |
| RankClass | 0.7529 | 0.6647 | 0.5176 | 0.7666 | 0.7026 | 0.5867 | 0.3598 | 0.8981 |
| LE-expert | 0.8118 | 0.7118 | 0.5559 | 0.8027 | 0.7361 | 0.618 | 0.3826 | 0.9451 | | 0 |
| Methods | Lin | SF | IGP | SF-Physical | OurSF-sa |
| --- | --- | --- | --- | --- | --- |
| | 1.69\|1.00\|2.84 | 1.60\|0.99\|2.32 | 1.57\|1.14\|2.64 | 1.56\|0.86\|1.83 | 1.53\|0.84\|1.81 |
| | 1.17\|1.01\|1.81 | 1.11\|0.82\|1.70 | 1.11\|0.81\|2.25 | 1.12\|0.81\|1.70 | 1.12\|0.83\|1.70 |
| | 0,91\|0.83\|1.03 | 0.80\|0.81\|0.89 | 1.33\|0.85\|2.61 | 0.79\|0.81\|0.89 | 0.78\|0.82\|0.89 |
| | 1.72\|1.10\|3.80 | 1.38\|0.89\|2.30 | 0.95\|0.69\|1.78 | 1.37\|0.65\|2.30 | 1.37\|0.60\|2.30 | | | | 1.02\|0.75\|2.00 | 0.94\|0.41\|1.66 | 0.96\|0.69\|1.67 | 0.90\|0.40\|1.51 | 0.89\|0.36\|1.51 |
| --- | --- | --- | --- | --- | --- |
| | 1.38\|0.86\|2.45 | 1.29\|0.87\|2.02 | 1.20\|0.75\|2.46 | 1.01\|0.65\|1.65 | 0.99\|0.66\|1.65 |
| | 1.32\|0.93\|2.32 | 1.29\|0.79\|1.82 | 1.19\|0.82\|2.24 | 1.14\|0.70\|1.65 | 1.11\|0.69\|1.64 | | 1 |
| Methods | Lin | SF | IGP | SF-Physical | OurSF-sa |
| --- | --- | --- | --- | --- | --- |
| | 1.69\|1.00\|2.84 | 1.60\|0.99\|2.32 | 1.57\|1.14\|2.64 | 1.56\|0.86\|1.83 | 1.53\|0.84\|1.81 |
| | 1.17\|1.01\|1.81 | 1.11\|0.82\|1.70 | 1.11\|0.81\|2.25 | 1.12\|0.81\|1.70 | 1.12\|0.83\|1.70 |
| | 0,91\|0.83\|1.03 | 0.80\|0.81\|0.89 | 1.33\|0.85\|2.61 | 0.79\|0.81\|0.89 | 0.78\|0.82\|0.89 |
| | 1.72\|1.10\|3.80 | 1.38\|0.89\|2.30 | 0.95\|0.69\|1.78 | 1.37\|0.65\|2.30 | 1.37\|0.60\|2.30 | | | RankClass | 0.7529 | 0.6647 | 0.5176 | 0.7666 | 0.7026 | 0.5867 | 0.3598 | 0.8981 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| LE-expert | 0.8118 | 0.7118 | 0.5559 | 0.8027 | 0.7361 | 0.618 | 0.3826 | 0.9451 | | 0 |
| Method | MAE | MSE |
| --- | --- | --- |
| KernelRidgeRegression | 2.16 | 7.45 |
| RidgeRegression | 2.25 | 7.82 |
| GaussianProcessRegression | 2.24 | 7.97 | | | CumulativeAttributeRegression | 2.07 | 6.86 |
| --- | --- | --- |
| Cross-sceneDNN | 1.6 | 3.31 |
| OPT-RC | 2.03 | 5.97 |
| FCN-MT | 1.67 | 3.41 | | 1 |
| Method | MAE | MSE |
| --- | --- | --- |
| KernelRidgeRegression | 2.16 | 7.45 |
| RidgeRegression | 2.25 | 7.82 |
| GaussianProcessRegression | 2.24 | 7.97 | | | Method | MAE | MSE |
| --- | --- | --- |
| KernelRidgeRegression | 2.16 | 7.45 |
| RidgeRegression | 2.25 | 7.82 |
| GaussianProcessRegression | 2.24 | 7.97 |
| CumulativeAttributeRegression | 2.07 | 6.86 |
| Cross-sceneDNN | 1.6 | 3.31 |
| Baseline3 | 1.67 | 3.41 |
| FCN-HA | 1.65 | 3.37 |
| FCN-rLSTM | 1.54 | 3.02 | | 0 |
| Method | MAE | MSE |
| --- | --- | --- |
| KernelRidgeRegression | 2.16 | 7.45 |
| RidgeRegression | 2.25 | 7.82 |
| GaussianProcessRegression | 2.24 | 7.97 | | | CumulativeAttributeRegression | 2.07 | 6.86 |
| --- | --- | --- |
| Cross-sceneDNN | 1.6 | 3.31 |
| OPT-RC | 2.03 | 5.97 |
| FCN-MT | 1.67 | 3.41 | | 1 |
| Method | MAE | MSE |
| --- | --- | --- |
| KernelRidgeRegression | 2.16 | 7.45 |
| RidgeRegression | 2.25 | 7.82 |
| GaussianProcessRegression | 2.24 | 7.97 | | | RidgeRegression | 2.25 | 7.82 |
| --- | --- | --- |
| GaussianProcessRegression | 2.24 | 7.97 |
| CumulativeAttributeRegression | 2.07 | 6.86 |
| Cross-sceneDNN | 1.6 | 3.31 |
| Baseline3 | 1.67 | 3.41 |
| FCN-HA | 1.65 | 3.37 |
| FCN-rLSTM | 1.54 | 3.02 | | 0 |
| | | (cid:96)(Gugat’s)[11]∞ | (cid:96)[6]1 | Alg.1 | Alg.2(K=2) |
| --- | --- | --- | --- | --- | --- |
| House | Removedoutliers | 2396 | 862 | 722 | 498 |
| Remaininginliers | 99936 | 101470 | 101610 | 101834 | | | | RMSE(pixels) | 0.9119 | 0.5982 | 0.6007 | 0.6063 |
| --- | --- | --- | --- | --- |
| Runtime(seconds) | 50878 | 975 | 322 | 477 | | 1 |
| | | (cid:96)(Gugat’s)[11]∞ | (cid:96)[6]1 | Alg.1 | Alg.2(K=2) |
| --- | --- | --- | --- | --- | --- |
| House | Removedoutliers | 2396 | 862 | 722 | 498 |
| Remaininginliers | 99936 | 101470 | 101610 | 101834 | | | | | | (cid:96)(Gugat’s)[11]∞ | (cid:96)[6]1 | Alg.1 | Alg.2(K=2) |
| --- | --- | --- | --- | --- | --- |
| Cathedral | Removedoutliers | 1594 | 652 | 541 | 428 |
| Remaininginliers | 44451 | 45393 | 45504 | 45617 | |
| RMSE(pixels) | 1.1343 | 0.8036 | 0.8075 | 0.8178 | |
| Runtime(seconds) | 2354 | 259 | 76 | 134 | | | 0 |
| | | (cid:96)(Gugat’s)[11]∞ | (cid:96)[6]1 | Alg.1 | Alg.2(K=2) |
| --- | --- | --- | --- | --- | --- |
| House | Removedoutliers | 2396 | 862 | 722 | 498 | | | Remaininginliers | 99936 | 101470 | 101610 | 101834 |
| --- | --- | --- | --- | --- |
| RMSE(pixels) | 0.9119 | 0.5982 | 0.6007 | 0.6063 |
| Runtime(seconds) | 50878 | 975 | 322 | 477 | | 1 |
| | | (cid:96)(Gugat’s)[11]∞ | (cid:96)[6]1 | Alg.1 | Alg.2(K=2) |
| --- | --- | --- | --- | --- | --- |
| House | Removedoutliers | 2396 | 862 | 722 | 498 | | | Remaininginliers | 44451 | 45393 | 45504 | 45617 |
| --- | --- | --- | --- | --- |
| RMSE(pixels) | 1.1343 | 0.8036 | 0.8075 | 0.8178 |
| Runtime(seconds) | 2354 | 259 | 76 | 134 | | 0 |
| Method | Blind/Non-blind | Denoisingon | PSNR | SSIM |
| --- | --- | --- | --- | --- |
| CDnCNN-B | Blind | sRGB | 32.43 | 0.7900 |
| EPLL | Non-blind | sRGB | 33.51 | 0.8244 |
| TNRD | Non-blind | sRGB | 33.65 | 0.8306 |
| NCSR | Non-blind | sRGB | 34.05 | 0.8351 |
| MLP | Non-blind | sRGB | 34.23 | 0.8331 |
| FFDNet | Non-blind | sRGB | 34.40 | 0.8474 |
| BM3D | Non-blind | sRGB | 34.51 | 0.8507 |
| FoE | Non-blind | sRGB | 34.62 | 0.8845 |
| WNNM | Non-blind | sRGB | 34.67 | 0.8646 |
| CIMM | Non-blind | sRGB | 36.04 | 0.9136 |
| KSVD | Non-blind | sRGB | 36.49 | 0.8978 |
| MCWNNM. | Non-blind | sRGB | 37.38 | 0.9294 |
| CBDNet(Syn) | Blind | sRGB | 37.57 | 0.9360 | | | CBDNet(Real) | Blind | sRGB | 37.72 | 0.9408 |
| --- | --- | --- | --- | --- |
| CBDNet(All) | Blind | sRGB | 38.06 | 0.9421 | | 1 |
| Method | Blind/Non-blind | Denoisingon | PSNR | SSIM |
| --- | --- | --- | --- | --- |
| CDnCNN-B | Blind | sRGB | 32.43 | 0.7900 |
| EPLL | Non-blind | sRGB | 33.51 | 0.8244 |
| TNRD | Non-blind | sRGB | 33.65 | 0.8306 |
| NCSR | Non-blind | sRGB | 34.05 | 0.8351 |
| MLP | Non-blind | sRGB | 34.23 | 0.8331 |
| FFDNet | Non-blind | sRGB | 34.40 | 0.8474 |
| BM3D | Non-blind | sRGB | 34.51 | 0.8507 |
| FoE | Non-blind | sRGB | 34.62 | 0.8845 |
| WNNM | Non-blind | sRGB | 34.67 | 0.8646 |
| CIMM | Non-blind | sRGB | 36.04 | 0.9136 |
| KSVD | Non-blind | sRGB | 36.49 | 0.8978 |
| MCWNNM. | Non-blind | sRGB | 37.38 | 0.9294 |
| CBDNet(Syn) | Blind | sRGB | 37.57 | 0.9360 | | | Method | FRGC4× | FRGC8× | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| PSNR | SSIM | IFC | WPSNR | NQM | PSNR | SSIM | IFC | WPSNR | NQM | |
| NN | 25.39 | 0.694 | 1.25 | 35.17 | 6.94 | 21.95 | 0.466 | 0.39 | 28.79 | 3.49 |
| Bicubic | 27.39 | 0.797 | 1.84 | 36.04 | 9.09 | 23.71 | 0.617 | 0.84 | 30.27 | 5.29 |
| KK | 28.06 | 0.825 | 2.10 | 37.34 | 9.72 | 24.11 | 0.631 | 0.89 | 30.85 | 5.74 |
| SRCNN | 28.19 | 0.829 | 2.10 | 37.47 | 9.91 | 24.18 | 0.641 | 0.91 | 30.89 | 5.84 |
| LSF | 25.64 | 0.723 | 1.28 | 33.56 | 7.42 | 23.21 | 0.614 | 0.76 | 30.35 | 4.90 |
| MZQ | 29.22 | 0.857 | 2.22 | 38.67 | 11.21 | 25.81 | 0.752 | 1.34 | 33.17 | 7.67 |
| YLY | 26.80 | 0.791 | 1.79 | 35.67 | 8.55 | 22.57 | 0.602 | 0.83 | 29.45 | 4.21 |
| BCCNN | 28.67 | 0.842 | 2.13 | 37.98 | 10.63 | 25.70 | 0.749 | 1.34 | 32.90 | 7.60 |
| GLN | 30.34 | 0.884 | 2.66 | 40.94 | 12.37 | 26.75 | 0.787 | 1.56 | 34.37 | 8.60 | | 0 |
| Method | Blind/Non-blind | Denoisingon | PSNR | SSIM |
| --- | --- | --- | --- | --- |
| CDnCNN-B | Blind | sRGB | 32.43 | 0.7900 |
| EPLL | Non-blind | sRGB | 33.51 | 0.8244 |
| TNRD | Non-blind | sRGB | 33.65 | 0.8306 |
| NCSR | Non-blind | sRGB | 34.05 | 0.8351 | | | MLP | Non-blind | sRGB | 34.23 | 0.8331 |
| --- | --- | --- | --- | --- |
| FFDNet | Non-blind | sRGB | 34.40 | 0.8474 |
| BM3D | Non-blind | sRGB | 34.51 | 0.8507 |
| FoE | Non-blind | sRGB | 34.62 | 0.8845 |
| WNNM | Non-blind | sRGB | 34.67 | 0.8646 |
| CIMM | Non-blind | sRGB | 36.04 | 0.9136 |
| KSVD | Non-blind | sRGB | 36.49 | 0.8978 |
| MCWNNM. | Non-blind | sRGB | 37.38 | 0.9294 |
| CBDNet(Syn) | Blind | sRGB | 37.57 | 0.9360 |
| CBDNet(Real) | Blind | sRGB | 37.72 | 0.9408 |
| CBDNet(All) | Blind | sRGB | 38.06 | 0.9421 | | 1 |
| Method | Blind/Non-blind | Denoisingon | PSNR | SSIM |
| --- | --- | --- | --- | --- |
| CDnCNN-B | Blind | sRGB | 32.43 | 0.7900 |
| EPLL | Non-blind | sRGB | 33.51 | 0.8244 |
| TNRD | Non-blind | sRGB | 33.65 | 0.8306 |
| NCSR | Non-blind | sRGB | 34.05 | 0.8351 | | | YLY | 26.80 | 0.791 | 1.79 | 35.67 | 8.55 | 22.57 | 0.602 | 0.83 | 29.45 | 4.21 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| BCCNN | 28.67 | 0.842 | 2.13 | 37.98 | 10.63 | 25.70 | 0.749 | 1.34 | 32.90 | 7.60 |
| GLN | 30.34 | 0.884 | 2.66 | 40.94 | 12.37 | 26.75 | 0.787 | 1.56 | 34.37 | 8.60 | | 0 |
| Dataset | PTA | MP | DV | Ours |
| --- | --- | --- | --- | --- |
| Seq1 | 0.2431 | 0.2575 | 0.0531 | 0.0636 |
| Seq2 | 0.0988 | 0.0644 | 0.0457 | 0.0569 | | | Seq3 | 0.0596 | 0.0682 | 0.0346 | 0.0374 |
| --- | --- | --- | --- | --- |
| Seq4 | 0.0877 | 0.0772 | 0.0379 | 0.0428 | | 1 |
| Dataset | PTA | MP | DV | Ours |
| --- | --- | --- | --- | --- |
| Seq1 | 0.2431 | 0.2575 | 0.0531 | 0.0636 |
| Seq2 | 0.0988 | 0.0644 | 0.0457 | 0.0569 | | | Dataset | DDER | CoR | RLMS | Ours |
| --- | --- | --- | --- | --- |
| dt01 | 9.65 | 4.15 | 6.04 | 4.51 |
| ar00 | 3.41 | 66.72 | 7.41 | 2.36 |
| dt00 | 3.57 | 1.65 | 4.63 | 2.29 |
| my01 | 5.61 | 2.79 | 4.35 | 2.89 |
| fw01 | 6.5 | 3.27 | 36.11 | 4.85 |
| fw02 | 5.34 | 1.80 | 2.56 | 3.50 |
| luc01 | 4.96 | 2.38 | 5.86 | 3.49 |
| luc02 | 3.95 | 1.51 | 2.04 | 3.02 |
| luc03(2m) | 37.17 | n/a | 1.67 | 1.77 |
| luc04(2m) | 2.63 | 62.45 | n/a | 1.84 |
| luc05 | 3.39 | 2.39 | 3.44 | 2.88 | | 0 |
| Dataset | PTA | MP | DV | Ours |
| --- | --- | --- | --- | --- |
| Seq1 | 0.2431 | 0.2575 | 0.0531 | 0.0636 | | | Seq2 | 0.0988 | 0.0644 | 0.0457 | 0.0569 |
| --- | --- | --- | --- | --- |
| Seq3 | 0.0596 | 0.0682 | 0.0346 | 0.0374 |
| Seq4 | 0.0877 | 0.0772 | 0.0379 | 0.0428 | | 1 |
| Dataset | PTA | MP | DV | Ours |
| --- | --- | --- | --- | --- |
| Seq1 | 0.2431 | 0.2575 | 0.0531 | 0.0636 | | | luc02 | 3.95 | 1.51 | 2.04 | 3.02 |
| --- | --- | --- | --- | --- |
| luc03(2m) | 37.17 | n/a | 1.67 | 1.77 |
| luc04(2m) | 2.63 | 62.45 | n/a | 1.84 |
| luc05 | 3.39 | 2.39 | 3.44 | 2.88 | | 0 |
| PRI↑ | VoI↓ | BDE↓ | GCE↓ | |
| --- | --- | --- | --- | --- |
| NCut | 0.73931 | 2.9139 | 17.1560 | 0.2232 | | | CTM | 0.7796 | 6.2187 | 19.1981 | 0.3647 |
| --- | --- | --- | --- | --- |
| HFEM | 0.7769 | 2.3067 | 10.6700 | 0.2215 |
| MeanShift | 0.7769 | 4.3173 | 13.1616 | 0.5811 |
| Proposedapproach | 0.7627 | 3.8036 | 10.1594 | 0.4484 | | 1 |
| PRI↑ | VoI↓ | BDE↓ | GCE↓ | |
| --- | --- | --- | --- | --- |
| NCut | 0.73931 | 2.9139 | 17.1560 | 0.2232 | | | Method | MOTA↑ | MOTP↑ | FP↓ | FN↓ | IDSw.↓ | detector |
| --- | --- | --- | --- | --- | --- | --- |
| SOT+MOT(priv) | 67.3 | 81.2 | 5338 | 30266 | 529 | private |
| MOT(priv) | 67.0 | 81.3 | 5259 | 30626 | 524 | private |
| SOT+MOT | 41.9 | 77.4 | 4235 | 59757 | 198 | public |
| SOT(templatematching)+MOT | 41.7 | 77.8 | 4201 | 59954 | 174 | public |
| MOT | 38.1 | 78.1 | 5014 | 63121 | 249 | public | | 0 |
| PRI↑ | VoI↓ | BDE↓ | GCE↓ | |
| --- | --- | --- | --- | --- |
| NCut | 0.73931 | 2.9139 | 17.1560 | 0.2232 |
| CTM | 0.7796 | 6.2187 | 19.1981 | 0.3647 | | | HFEM | 0.7769 | 2.3067 | 10.6700 | 0.2215 |
| --- | --- | --- | --- | --- |
| MeanShift | 0.7769 | 4.3173 | 13.1616 | 0.5811 |
| Proposedapproach | 0.7627 | 3.8036 | 10.1594 | 0.4484 | | 1 |
| PRI↑ | VoI↓ | BDE↓ | GCE↓ | |
| --- | --- | --- | --- | --- |
| NCut | 0.73931 | 2.9139 | 17.1560 | 0.2232 |
| CTM | 0.7796 | 6.2187 | 19.1981 | 0.3647 | | | SOT(templatematching)+MOT | 41.7 | 77.8 | 4201 | 59954 | 174 | public |
| --- | --- | --- | --- | --- | --- | --- |
| MOT | 38.1 | 78.1 | 5014 | 63121 | 249 | public | | 0 |
| Methods | 16bits32bits48bits64bits |
| --- | --- |
| VOC2007 | |
| Ours | 0.76720.80410.81470.8227 |
| HNM | 0.75450.77680.80100.8030 |
| Semi-hard | 0.73470.74420.75480.7655 | | | TripletH | 0.74340.77450.78580.7897 |
| --- | --- |
| StanfordDogs | |
| Ours | 0.67450.71010.72520.7293 |
| HNM | 0.59050.67630.70570.7187 |
| Semi-hard | 0.59330.66620.69670.7054 |
| TripletH | 0.58890.64780.67440.6904 |
| SUN397 | |
| Ours | 0.75050.80680.81520.8301 |
| HNM | 0.71240.78010.79920.8142 |
| Semi-hard | 0.71670.78090.80020.8097 |
| TripletH | 0.68930.76600.79180.8027 |
| CUB-200-2011 | |
| Ours | 0.51370.65190.68070.6949 |
| HNM | 0.48340.57930.62170.6641 |
| Semi-hard | 0.48590.60170.63460.6539 |
| TripletH | 0.45080.55030.59630.6312 | | 1 |
| Methods | 16bits32bits48bits64bits |
| --- | --- |
| VOC2007 | |
| Ours | 0.76720.80410.81470.8227 |
| HNM | 0.75450.77680.80100.8030 |
| Semi-hard | 0.73470.74420.75480.7655 | | | Methods | VOC2007(MAP)<br>16bits32bits48bits64bits | StanfordDogs(MAP)<br>16bits32bits48bits64bits | SUN397(MAP)<br>16bits32bits48bits64bits |
| --- | --- | --- | --- |
| Ours | 0.76720.80410.81470.8227 | 0.67450.71010.72520.7293 | 0.75050.80680.81520.8301 |
| TripletH | 0.74340.77450.78580.7897 | 0.58890.64780.67440.6904 | 0.68930.76600.79180.8027 |
| DSH | 0.70610.72340.71430.7116 | 0.49940.61340.64200.6453 | 0.59990.70310.75450.7725 |
| MLH | 0.49900.50440.45660.4786 | 0.40530.50310.61350.6284 | 0.38060.46320.49880.5212 |
| BRE | 0.61110.63230.64530.6517 | 0.24290.31580.36830.3936 | 0.25460.31850.35740.3675 |
| ITQ | 0.57930.58080.57960.5723 | 0.32750.42560.46820.4977 | 0.28640.36230.38820.3955 |
| SH | 0.44180.41750.40040.3835 | 0.24610.30760.35230.3714 | 0.20330.24350.24380.2391 |
| LSH | 0.27200.30980.32730.3551 | 0.06290.12930.16900.2245 | 0.06580.11160.14120.1635 | | 0 |
| Methods | 16bits32bits48bits64bits |
| --- | --- |
| VOC2007 | |
| Ours | 0.76720.80410.81470.8227 |
| HNM | 0.75450.77680.80100.8030 |
| Semi-hard | 0.73470.74420.75480.7655 |
| TripletH | 0.74340.77450.78580.7897 |
| StanfordDogs | |
| Ours | 0.67450.71010.72520.7293 |
| HNM | 0.59050.67630.70570.7187 |
| Semi-hard | 0.59330.66620.69670.7054 |
| TripletH | 0.58890.64780.67440.6904 |
| SUN397 | |
| Ours | 0.75050.80680.81520.8301 |
| HNM | 0.71240.78010.79920.8142 |
| Semi-hard | 0.71670.78090.80020.8097 |
| TripletH | 0.68930.76600.79180.8027 | | | CUB-200-2011 | |
| --- | --- |
| Ours | 0.51370.65190.68070.6949 |
| HNM | 0.48340.57930.62170.6641 |
| Semi-hard | 0.48590.60170.63460.6539 |
| TripletH | 0.45080.55030.59630.6312 | | 1 |
| Methods | 16bits32bits48bits64bits |
| --- | --- |
| VOC2007 | |
| Ours | 0.76720.80410.81470.8227 |
| HNM | 0.75450.77680.80100.8030 |
| Semi-hard | 0.73470.74420.75480.7655 |
| TripletH | 0.74340.77450.78580.7897 |
| StanfordDogs | |
| Ours | 0.67450.71010.72520.7293 |
| HNM | 0.59050.67630.70570.7187 |
| Semi-hard | 0.59330.66620.69670.7054 |
| TripletH | 0.58890.64780.67440.6904 |
| SUN397 | |
| Ours | 0.75050.80680.81520.8301 |
| HNM | 0.71240.78010.79920.8142 |
| Semi-hard | 0.71670.78090.80020.8097 |
| TripletH | 0.68930.76600.79180.8027 | | | MLH | 0.49900.50440.45660.4786 | 0.40530.50310.61350.6284 | 0.38060.46320.49880.5212 |
| --- | --- | --- | --- |
| BRE | 0.61110.63230.64530.6517 | 0.24290.31580.36830.3936 | 0.25460.31850.35740.3675 |
| ITQ | 0.57930.58080.57960.5723 | 0.32750.42560.46820.4977 | 0.28640.36230.38820.3955 |
| SH | 0.44180.41750.40040.3835 | 0.24610.30760.35230.3714 | 0.20330.24350.24380.2391 |
| LSH | 0.27200.30980.32730.3551 | 0.06290.12930.16900.2245 | 0.06580.11160.14120.1635 | | 0 |
| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 2 | 0.76 | 0.82 | 0.82 | 0.87 | 0.95 | 0.95 | 0.95 |
| 3 | 0.61 | 0.70 | 0.69 | 0.64 | 0.68 | 0.70 | 0.74 |
| 4 | 0.63 | 0.64 | 0.68 | 0.61 | 0.64 | 0.66 | 0.76 |
| 5 | 0.53 | 0.64 | 0.67 | 0.67 | 0.67 | 0.65 | 0.69 |
| 6 | 0.56 | 0.53 | 0.58 | 0.65 | 0.58 | 0.63 | 0.68 | | | 7 | 0.53 | 0.55 | 0.56 | 0.62 | 0.57 | 0.58 | 0.61 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 8 | 0.55 | 0.49 | 0.57 | 0.60 | 0.63 | 0.56 | 0.60 |
| 9 | 0.43 | 0.38 | 0.49 | 0.55 | 0.57 | 0.51 | 0.58 |
| 10 | 0.45 | 0.47 | 0.54 | 0.54 | 0.54 | 0.51 | 0.54 |
| 11 | 0.54 | 0.49 | 0.54 | 0.57 | 0.57 | 0.50 | 0.59 |
| Avg. | 0.56 | 0.57 | 0.61 | 0.63 | 0.64 | 0.63 | 0.66 | | 1 |
| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 2 | 0.76 | 0.82 | 0.82 | 0.87 | 0.95 | 0.95 | 0.95 |
| 3 | 0.61 | 0.70 | 0.69 | 0.64 | 0.68 | 0.70 | 0.74 |
| 4 | 0.63 | 0.64 | 0.68 | 0.61 | 0.64 | 0.66 | 0.76 |
| 5 | 0.53 | 0.64 | 0.67 | 0.67 | 0.67 | 0.65 | 0.69 |
| 6 | 0.56 | 0.53 | 0.58 | 0.65 | 0.58 | 0.63 | 0.68 | | | K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 2 | 0.92 | 0.98 | 0.96 | 0.99 | 0.99 | 1.00 | 1.00 |
| 3 | 0.80 | 0.91 | 0.86 | 0.95 | 0.91 | 0.94 | 0.94 |
| 4 | 0.63 | 0.76 | 0.78 | 0.85 | 0.89 | 0.93 | 0.87 |
| 5 | 0.67 | 0.64 | 0.74 | 0.80 | 0.79 | 0.87 | 0.88 |
| 6 | 0.57 | 0.56 | 0.67 | 0.80 | 0.77 | 0.78 | 0.76 |
| 7 | 0.56 | 0.55 | 0.58 | 0.68 | 0.65 | 0.74 | 0.64 |
| 8 | 0.56 | 0.57 | 0.57 | 0.54 | 0.62 | 0.66 | 0.69 |
| 9 | 0.54 | 0.52 | 0.51 | 0.46 | 0.61 | 0.68 | 0.63 |
| 10 | 0.54 | 0.47 | 0.48 | 0.53 | 0.47 | 0.64 | 0.58 |
| Avg. | 0.64 | 0.66 | 0.68 | 0.73 | 0.74 | 0.80 | 0.78 | | 0 |
| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 2 | 0.76 | 0.82 | 0.82 | 0.87 | 0.95 | 0.95 | 0.95 |
| 3 | 0.61 | 0.70 | 0.69 | 0.64 | 0.68 | 0.70 | 0.74 |
| 4 | 0.63 | 0.64 | 0.68 | 0.61 | 0.64 | 0.66 | 0.76 |
| 5 | 0.53 | 0.64 | 0.67 | 0.67 | 0.67 | 0.65 | 0.69 |
| 6 | 0.56 | 0.53 | 0.58 | 0.65 | 0.58 | 0.63 | 0.68 |
| 7 | 0.53 | 0.55 | 0.56 | 0.62 | 0.57 | 0.58 | 0.61 |
| 8 | 0.55 | 0.49 | 0.57 | 0.60 | 0.63 | 0.56 | 0.60 | | | 9 | 0.43 | 0.38 | 0.49 | 0.55 | 0.57 | 0.51 | 0.58 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 10 | 0.45 | 0.47 | 0.54 | 0.54 | 0.54 | 0.51 | 0.54 |
| 11 | 0.54 | 0.49 | 0.54 | 0.57 | 0.57 | 0.50 | 0.59 |
| Avg. | 0.56 | 0.57 | 0.61 | 0.63 | 0.64 | 0.63 | 0.66 | | 1 |
| K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 2 | 0.76 | 0.82 | 0.82 | 0.87 | 0.95 | 0.95 | 0.95 |
| 3 | 0.61 | 0.70 | 0.69 | 0.64 | 0.68 | 0.70 | 0.74 |
| 4 | 0.63 | 0.64 | 0.68 | 0.61 | 0.64 | 0.66 | 0.76 |
| 5 | 0.53 | 0.64 | 0.67 | 0.67 | 0.67 | 0.65 | 0.69 |
| 6 | 0.56 | 0.53 | 0.58 | 0.65 | 0.58 | 0.63 | 0.68 |
| 7 | 0.53 | 0.55 | 0.56 | 0.62 | 0.57 | 0.58 | 0.61 |
| 8 | 0.55 | 0.49 | 0.57 | 0.60 | 0.63 | 0.56 | 0.60 | | | 8 | 0.56 | 0.57 | 0.57 | 0.54 | 0.62 | 0.66 | 0.69 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 9 | 0.54 | 0.52 | 0.51 | 0.46 | 0.61 | 0.68 | 0.63 |
| 10 | 0.54 | 0.47 | 0.48 | 0.53 | 0.47 | 0.64 | 0.58 |
| Avg. | 0.64 | 0.66 | 0.68 | 0.73 | 0.74 | 0.80 | 0.78 | | 0 |
| Approach | deep | | | |
| --- | --- | --- | --- | --- |
| RMSE | PR | CCC | RMSE | PR | | | target | 0.67 | .786 | .776 | 0.66 | .787 |
| --- | --- | --- | --- | --- | --- |
| src<br>dann | 1.01<br>1.10 | .515<br>.503 | .452<br>.489 | 1.00<br>1.07 | .510<br>.520 |
| src<br>dann | 1.57<br>1.48 | .551<br>.607 | .267<br>.381 | 1.53<br>1.46 | .555<br>.614 |
| src<br>dann | 1.20<br>1.18 | .496<br>.555 | .386<br>.499 | 1.18<br>1.18 | .506<br>.551 | | 1 |
| Approach | deep | | | |
| --- | --- | --- | --- | --- |
| RMSE | PR | CCC | RMSE | PR | | | #Params | RVD | |
| --- | --- | --- |
| @1 | @10 | |
| 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |
| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |
| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 | | 0 |
| Approach | deep | | | | |
| --- | --- | --- | --- | --- | --- |
| RMSE | PR | CCC | RMSE | PR | |
| target | 0.67 | .786 | .776 | 0.66 | .787 |
| src<br>dann | 1.01<br>1.10 | .515<br>.503 | .452<br>.489 | 1.00<br>1.07 | .510<br>.520 | | | src<br>dann | 1.57<br>1.48 | .551<br>.607 | .267<br>.381 | 1.53<br>1.46 | .555<br>.614 |
| --- | --- | --- | --- | --- | --- |
| src<br>dann | 1.20<br>1.18 | .496<br>.555 | .386<br>.499 | 1.18<br>1.18 | .506<br>.551 | | 1 |
| Approach | deep | | | | |
| --- | --- | --- | --- | --- | --- |
| RMSE | PR | CCC | RMSE | PR | |
| target | 0.67 | .786 | .776 | 0.66 | .787 |
| src<br>dann | 1.01<br>1.10 | .515<br>.503 | .452<br>.489 | 1.00<br>1.07 | .510<br>.520 | | | 0.09m<br>1.82m | 0.106<br>0.190 | 0.316<br>0.452 |
| --- | --- | --- |
| 10.2m<br>10.6m<br>10.4m<br>10.8m | 0.175<br>0.187<br>0.286<br>0.293 | 0.465<br>0.492<br>0.573<br>0.581 |
| 11.1m<br>11.7m | 0.307<br>0.308 | 0.600<br>0.608 | | 0 |
| [V;V]peak−t−3 |
| --- |
| [V;V]t−3t−2 |
| [V;V]t−2t−1 |
| [V;V]t−1t |
| [V;V]tt+1 | | | [V;V]t+1t+2 |
| --- |
| [V;V]t+2t+3 |
| [V;V]t+3peak+ | | 1 |
| [V;V]peak−t−3 |
| --- |
| [V;V]t−3t−2 |
| [V;V]t−2t−1 |
| [V;V]t−1t |
| [V;V]tt+1 | | | Fig.No | T−T | m(E,t=0)t | Plotting |
| --- | --- | --- | --- |
| ?? | 20 | 1 | Pv.s(t,E) |
| ?? | 20 | 1 | Pv.st |
| ?? | 20 | 1 | mv.s(t,E)t |
| ?? | 20 | 0ifE≤18,else1 | mv.s(t,E)t |
| ?? | 120 | 1 | Pv.st |
| ?? | 120 | 1 | v(E,t=0)v.sEt | | 0 |
| [V;V]peak−t−3 |
| --- |
| [V;V]t−3t−2 | | | [V;V]t−2t−1 |
| --- |
| [V;V]t−1t |
| [V;V]tt+1 |
| [V;V]t+1t+2 |
| [V;V]t+2t+3 |
| [V;V]t+3peak+ | | 1 |
| [V;V]peak−t−3 |
| --- |
| [V;V]t−3t−2 | | | ?? | 20 | 0ifE≤18,else1 | mv.s(t,E)t |
| --- | --- | --- | --- |
| ?? | 120 | 1 | Pv.st |
| ?? | 120 | 1 | v(E,t=0)v.sEt | | 0 |
| | Gradual | Sharp | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |
| BOR10001 | 11 | 11 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | - |
| BOR10002 | 11 | 10 | 0 | 1 | 1 | 0.909 | 0.952 | 0 | 0 | 0 | 0 | - |
| NAD57 | 25 | 21 | 2 | 4 | 0.913 | 0.84 | 0.875 | 45 | 45 | 1 | 0 | 0.978 |
| NAD58 | 44 | 39 | 0 | 5 | 1 | 0.886 | 0.94 | 40 | 35 | 0 | 5 | 1 |
| anni001 | 8 | 6 | 0 | 2 | 1 | 0.75 | 0.857 | 0 | 0 | 0 | 0 | - |
| anni005 | 27 | 27 | 1 | 0 | 0.964 | 1 | 0.982 | 39 | 35 | 5 | 4 | 0.875 |
| anni006 | 31 | 27 | 5 | 4 | 0.844 | 0.871 | 0.857 | 42 | 39 | 0 | 3 | 1 |
| anni007 | 5 | 5 | 0 | 0 | 1 | 1 | 1 | 5 | 5 | 0 | 0 | 1 |
| anni008 | 13 | 13 | 0 | 0 | 1 | 1 | 1 | 2 | 2 | 0 | 0 | 1 | | | anni009 | 64 | 60 | 2 | 4 | 0.968 | 0.938 | 0.952 | 40 | 36 | 0 | 4 | 1 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| anni010 | 56 | 50 | 9 | 6 | 0.847 | 0.893 | 0.87 | 98 | 84 | 0 | 14 | 1 |
| Total | 295 | 269 | 19 | 26 | 0.934 | 0.912 | 0.923 | 311 | 281 | 6 | 30 | 0.979 | | 1 |
| | Gradual | Sharp | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |
| BOR10001 | 11 | 11 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | - |
| BOR10002 | 11 | 10 | 0 | 1 | 1 | 0.909 | 0.952 | 0 | 0 | 0 | 0 | - |
| NAD57 | 25 | 21 | 2 | 4 | 0.913 | 0.84 | 0.875 | 45 | 45 | 1 | 0 | 0.978 |
| NAD58 | 44 | 39 | 0 | 5 | 1 | 0.886 | 0.94 | 40 | 35 | 0 | 5 | 1 |
| anni001 | 8 | 6 | 0 | 2 | 1 | 0.75 | 0.857 | 0 | 0 | 0 | 0 | - |
| anni005 | 27 | 27 | 1 | 0 | 0.964 | 1 | 0.982 | 39 | 35 | 5 | 4 | 0.875 |
| anni006 | 31 | 27 | 5 | 4 | 0.844 | 0.871 | 0.857 | 42 | 39 | 0 | 3 | 1 |
| anni007 | 5 | 5 | 0 | 0 | 1 | 1 | 1 | 5 | 5 | 0 | 0 | 1 |
| anni008 | 13 | 13 | 0 | 0 | 1 | 1 | 1 | 2 | 2 | 0 | 0 | 1 | | | | Gradual | Sharp | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |
| BOR10001 | 11 | 11 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | - |
| BOR10002 | 11 | 9 | 0 | 2 | 1 | 0.818 | 0.9 | 0 | 0 | 0 | 0 | - |
| NAD57 | 25 | 22 | 1 | 3 | 0.957 | 0.88 | 0.917 | 45 | 45 | 4 | 0 | 0.918 |
| NAD58 | 44 | 37 | 0 | 7 | 1 | 0.841 | 0.914 | 40 | 33 | 0 | 7 | 1 |
| anni001 | 8 | 6 | 0 | 2 | 1 | 0.75 | 0.857 | 0 | 0 | 1 | 0 | 0 |
| anni005 | 27 | 26 | 2 | 1 | 0.929 | 0.963 | 0.945 | 39 | 36 | 13 | 3 | 0.735 |
| anni006 | 31 | 27 | 3 | 4 | 0.9 | 0.871 | 0.885 | 42 | 41 | 0 | 1 | 1 |
| anni007 | 5 | 4 | 0 | 1 | 1 | 0.8 | 0.889 | 5 | 5 | 0 | 0 | 1 |
| anni008 | 13 | 12 | 0 | 1 | 1 | 0.923 | 0.96 | 2 | 2 | 0 | 0 | 1 |
| anni009 | 64 | 57 | 3 | 7 | 0.95 | 0.891 | 0.919 | 40 | 37 | 0 | 3 | 1 |
| anni010 | 56 | 50 | 11 | 6 | 0.82 | 0.893 | 0.855 | 98 | 84 | 1 | 14 | 0.988 |
| Total | 295 | 261 | 20 | 34 | 0.929 | 0.885 | 0.906 | 311 | 283 | 19 | 28 | 0.937 | | 0 |
| | Gradual | Sharp | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |
| BOR10001 | 11 | 11 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | - |
| BOR10002 | 11 | 10 | 0 | 1 | 1 | 0.909 | 0.952 | 0 | 0 | 0 | 0 | - |
| NAD57 | 25 | 21 | 2 | 4 | 0.913 | 0.84 | 0.875 | 45 | 45 | 1 | 0 | 0.978 | | | NAD58 | 44 | 39 | 0 | 5 | 1 | 0.886 | 0.94 | 40 | 35 | 0 | 5 | 1 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| anni001 | 8 | 6 | 0 | 2 | 1 | 0.75 | 0.857 | 0 | 0 | 0 | 0 | - |
| anni005 | 27 | 27 | 1 | 0 | 0.964 | 1 | 0.982 | 39 | 35 | 5 | 4 | 0.875 |
| anni006 | 31 | 27 | 5 | 4 | 0.844 | 0.871 | 0.857 | 42 | 39 | 0 | 3 | 1 |
| anni007 | 5 | 5 | 0 | 0 | 1 | 1 | 1 | 5 | 5 | 0 | 0 | 1 |
| anni008 | 13 | 13 | 0 | 0 | 1 | 1 | 1 | 2 | 2 | 0 | 0 | 1 |
| anni009 | 64 | 60 | 2 | 4 | 0.968 | 0.938 | 0.952 | 40 | 36 | 0 | 4 | 1 |
| anni010 | 56 | 50 | 9 | 6 | 0.847 | 0.893 | 0.87 | 98 | 84 | 0 | 14 | 1 |
| Total | 295 | 269 | 19 | 26 | 0.934 | 0.912 | 0.923 | 311 | 281 | 6 | 30 | 0.979 | | 1 |
| | Gradual | Sharp | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Video | #T | TP | FP | FN | P | R | F | #T | TP | FP | FN | P |
| BOR10001 | 11 | 11 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | - |
| BOR10002 | 11 | 10 | 0 | 1 | 1 | 0.909 | 0.952 | 0 | 0 | 0 | 0 | - |
| NAD57 | 25 | 21 | 2 | 4 | 0.913 | 0.84 | 0.875 | 45 | 45 | 1 | 0 | 0.978 | | | anni010 | 56 | 50 | 11 | 6 | 0.82 | 0.893 | 0.855 | 98 | 84 | 1 | 14 | 0.988 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Total | 295 | 261 | 20 | 34 | 0.929 | 0.885 | 0.906 | 311 | 283 | 19 | 28 | 0.937 | | 0 |
| Name | N | M | var(A) | CLPA | LPA |
| --- | --- | --- | --- | --- | --- |
| GRQ | 5.24K | 14.48K | 1.0 | 0.797 | 0.735 |
| HepTh | 9.88K | 25.97K | 1.1 | 0.671 | 0.627 | | | HepPh | 12.01K | 0.12M | 1.2 | 0.497 | 0.488 |
| --- | --- | --- | --- | --- | --- |
| CondMat | 12.01K | 0.12M | 1.3 | 0.633 | 0.578 |
| Astro | 18.77K | 0.20M | 1.1 | 0.450 | 0.323 |
| Enron | 36.69K | 0.18M | 80.8 | 0.473 | 0.338 |
| Brightkite | 58.23K | 0.21M | 6.9 | 0.623 | 0.557 |
| Gowalla | 0.20M | 0.95M | 102.4 | 0.618 | 0.503 |
| DBLP | 0.32M | 1.05M | 2.4 | 0.697 | 0.622 |
| Amazon | 0.33M | 0.93M | 2.1 | 0.786 | 0.709 |
| Youtube | 1.13M | 2.99M | 233.9 | 0.682 | 0.555 | | 1 |
| Name | N | M | var(A) | CLPA | LPA |
| --- | --- | --- | --- | --- | --- |
| GRQ | 5.24K | 14.48K | 1.0 | 0.797 | 0.735 |
| HepTh | 9.88K | 25.97K | 1.1 | 0.671 | 0.627 | | | K | PCA | NMF | SNMF | SSC | LRR | MFC10 | MFC20 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 2 | 0.51 | 0.80 | 1.00 | 0.98 | 1.00 | 1.00 | 1.00 |
| 4 | 0.35 | 0.59 | 0.63 | 0.88 | 0.86 | 0.85 | 0.89 |
| 6 | 0.30 | 0.72 | 0.57 | 0.84 | 0.82 | 0.84 | 0.86 |
| 8 | 0.20 | 0.37 | 0.48 | 0.76 | 0.74 | 0.69 | 0.76 |
| 10 | 0.23 | 0.45 | 0.41 | 0.74 | 0.71 | 0.68 | 0.75 |
| 12 | 0.22 | 0.37 | 0.41 | 0.67 | 0.70 | 0.70 | 0.70 |
| 14 | 0.18 | 0.36 | 0.39 | 0.64 | 0.68 | 0.77 | 0.72 |
| 16 | 0.18 | 0.37 | 0.39 | 0.63 | 0.67 | 0.72 | 0.73 |
| 18 | 0.15 | 0.35 | 0.35 | 0.63 | 0.68 | 0.74 | 0.74 |
| 20 | 0.15 | 0.37 | 0.37 | 0.60 | 0.66 | 0.72 | 0.72 |
| Avg. | 0.25 | 0.47 | 0.49 | 0.74 | 0.75 | 0.77 | 0.79 | | 0 |
| Name | N | M | var(A) | CLPA | LPA |
| --- | --- | --- | --- | --- | --- |
| GRQ | 5.24K | 14.48K | 1.0 | 0.797 | 0.735 |
| HepTh | 9.88K | 25.97K | 1.1 | 0.671 | 0.627 |
| HepPh | 12.01K | 0.12M | 1.2 | 0.497 | 0.488 |
| CondMat | 12.01K | 0.12M | 1.3 | 0.633 | 0.578 |
| Astro | 18.77K | 0.20M | 1.1 | 0.450 | 0.323 |
| Enron | 36.69K | 0.18M | 80.8 | 0.473 | 0.338 |
| Brightkite | 58.23K | 0.21M | 6.9 | 0.623 | 0.557 |
| Gowalla | 0.20M | 0.95M | 102.4 | 0.618 | 0.503 | | | DBLP | 0.32M | 1.05M | 2.4 | 0.697 | 0.622 |
| --- | --- | --- | --- | --- | --- |
| Amazon | 0.33M | 0.93M | 2.1 | 0.786 | 0.709 |
| Youtube | 1.13M | 2.99M | 233.9 | 0.682 | 0.555 | | 1 |
| Name | N | M | var(A) | CLPA | LPA |
| --- | --- | --- | --- | --- | --- |
| GRQ | 5.24K | 14.48K | 1.0 | 0.797 | 0.735 |
| HepTh | 9.88K | 25.97K | 1.1 | 0.671 | 0.627 |
| HepPh | 12.01K | 0.12M | 1.2 | 0.497 | 0.488 |
| CondMat | 12.01K | 0.12M | 1.3 | 0.633 | 0.578 |
| Astro | 18.77K | 0.20M | 1.1 | 0.450 | 0.323 |
| Enron | 36.69K | 0.18M | 80.8 | 0.473 | 0.338 |
| Brightkite | 58.23K | 0.21M | 6.9 | 0.623 | 0.557 |
| Gowalla | 0.20M | 0.95M | 102.4 | 0.618 | 0.503 | | | 12 | 0.22 | 0.37 | 0.41 | 0.67 | 0.70 | 0.70 | 0.70 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 14 | 0.18 | 0.36 | 0.39 | 0.64 | 0.68 | 0.77 | 0.72 |
| 16 | 0.18 | 0.37 | 0.39 | 0.63 | 0.67 | 0.72 | 0.73 |
| 18 | 0.15 | 0.35 | 0.35 | 0.63 | 0.68 | 0.74 | 0.74 |
| 20 | 0.15 | 0.37 | 0.37 | 0.60 | 0.66 | 0.72 | 0.72 |
| Avg. | 0.25 | 0.47 | 0.49 | 0.74 | 0.75 | 0.77 | 0.79 | | 0 |
| Description | Feature |
| --- | --- |
| Context | xxxxx12345 |
| LeftContext | xx12 |
| RightContext | xx45 |
| CenterWordintrigram | x3 | | | CenterisClass | IsClass(x)3 |
| --- | --- |
| CenterisPreposition | IsPreposition(x)3 |
| LeftisPreposition | IsPreposition(x)2 | | 1 |
| Description | Feature |
| --- | --- |
| Context | xxxxx12345 |
| LeftContext | xx12 |
| RightContext | xx45 |
| CenterWordintrigram | x3 | | | Featurelabel | Description |
| --- | --- |
| c,c,c∧cijij | Thetwoconceptsandtheirconjunction |
| w,w,w∧wijij | Wordsinthecorrespondingspansandtheirconjunction |
| p,p,p∧pijij | POStagsofwordsinspansandtheirconjunction |
| depij | Alldependencyedgeswithtailinwandheadinwij |
| dir | Binaryfeaturewhichistrueiffi<j |
| r | Relationlabelanditsconjunctionwithallotherfeatures | | 0 |
| Description | Feature |
| --- | --- |
| Context | xxxxx12345 | | | LeftContext | xx12 |
| --- | --- |
| RightContext | xx45 |
| CenterWordintrigram | x3 |
| CenterisClass | IsClass(x)3 |
| CenterisPreposition | IsPreposition(x)3 |
| LeftisPreposition | IsPreposition(x)2 | | 1 |
| Description | Feature |
| --- | --- |
| Context | xxxxx12345 | | | p,p,p∧pijij | POStagsofwordsinspansandtheirconjunction |
| --- | --- |
| depij | Alldependencyedgeswithtailinwandheadinwij |
| dir | Binaryfeaturewhichistrueiffi<j |
| r | Relationlabelanditsconjunctionwithallotherfeatures | | 0 |
| Rotation<br>ω1 | NDM | MeanScaleError | MeanRotationError | | |
| --- | --- | --- | --- | --- | --- |
| MEIR | MPIR | MEIR | MPIR | MEIR | MPIR | | | 5 | 0.077690 | 0.299270 | 0.041627 | 0.044040 | 4.285200 | 4.982500 |
| --- | --- | --- | --- | --- | --- | --- |
| 10 | 0.081106 | 0.303860 | 0.044879 | 0.047900 | 4.001400 | 4.710200 |
| 15 | 0.080859 | 0.304740 | 0.044368 | 0.048056 | 4.319300 | 5.013800 |
| 20 | 0.086114 | 0.304760 | 0.045060 | 0.048703 | 3.853000 | 4.521800 |
| 25 | 0.090683 | 0.306830 | 0.044147 | 0.046658 | 4.439000 | 5.129100 |
| 30 | 0.095251 | 0.306230 | 0.045137 | 0.048883 | 4.748100 | 5.269300 | | 1 |
| Rotation<br>ω1 | NDM | MeanScaleError | MeanRotationError | | |
| --- | --- | --- | --- | --- | --- |
| MEIR | MPIR | MEIR | MPIR | MEIR | MPIR | | | Rotation<br>ω1 | NDM | MeanScaleError | MeanRotationError | | | |
| --- | --- | --- | --- | --- | --- | --- |
| MEIR | MPIR | MEIR | MPIR | MEIR | MPIR | |
| 5 | 0.222160 | 0.317380 | 0.070345 | 0.071575 | 4.604600 | 4.883100 |
| 10 | 0.219680 | 0.312970 | 0.066740 | 0.069023 | 4.364000 | 4.505900 |
| 15 | 0.206470 | 0.307480 | 0.066462 | 0.067773 | 4.562800 | 4.792400 |
| 20 | 0.199300 | 0.306580 | 0.066079 | 0.068393 | 4.868400 | 5.045800 |
| 25 | 0.190730 | 0.301070 | 0.064825 | 0.066755 | 5.100400 | 5.264700 |
| 30 | 0.187460 | 0.302130 | 0.065554 | 0.067711 | 5.299400 | 5.510100 | | 0 |
| Rotation<br>ω1 | NDM | MeanScaleError | MeanRotationError | | |
| --- | --- | --- | --- | --- | --- |
| MEIR | MPIR | MEIR | MPIR | MEIR | MPIR | | | 5 | 0.077690 | 0.299270 | 0.041627 | 0.044040 | 4.285200 | 4.982500 |
| --- | --- | --- | --- | --- | --- | --- |
| 10 | 0.081106 | 0.303860 | 0.044879 | 0.047900 | 4.001400 | 4.710200 |
| 15 | 0.080859 | 0.304740 | 0.044368 | 0.048056 | 4.319300 | 5.013800 |
| 20 | 0.086114 | 0.304760 | 0.045060 | 0.048703 | 3.853000 | 4.521800 |
| 25 | 0.090683 | 0.306830 | 0.044147 | 0.046658 | 4.439000 | 5.129100 |
| 30 | 0.095251 | 0.306230 | 0.045137 | 0.048883 | 4.748100 | 5.269300 | | 1 |
| Rotation<br>ω1 | NDM | MeanScaleError | MeanRotationError | | |
| --- | --- | --- | --- | --- | --- |
| MEIR | MPIR | MEIR | MPIR | MEIR | MPIR | | | 15 | 0.206470 | 0.307480 | 0.066462 | 0.067773 | 4.562800 | 4.792400 |
| --- | --- | --- | --- | --- | --- | --- |
| 20 | 0.199300 | 0.306580 | 0.066079 | 0.068393 | 4.868400 | 5.045800 |
| 25 | 0.190730 | 0.301070 | 0.064825 | 0.066755 | 5.100400 | 5.264700 |
| 30 | 0.187460 | 0.302130 | 0.065554 | 0.067711 | 5.299400 | 5.510100 | | 0 |
| Query | OutputBias<br>(TOB) | InputBias<br>(TIB) | RankingBias<br>(TRB) |
| --- | --- | --- | --- |
| QueriesRelatedtoDemocraticCandidates | | | |
| HillaryClinton<br>BernieSanders<br>MartinO’Malley | 0.21<br>0.71<br>0.64 | 0.03<br>0.55<br>0.57 | 0.18<br>0.16<br>0.07 |
| Average | 0.52 | 0.38 | 0.14 |
| QueriesRelatedtoRepublicanCandidates | | | |
| DonaldTrump<br>TedCruz<br>MarcoRubio<br>BenCarson<br>ChrisChristie<br>JebBush<br>RandPaul<br>CarlyFiorina<br>JohnKasich<br>MikeHuckabee<br>RickSantorum<br>LindseyGraham<br>GeorgePataki<br>JimGilmore | 0.29<br>−0.48<br>−0.41<br>0.46<br>−0.14<br>−0.31<br>−0.37<br>0.16<br>−0.09<br>0.30<br>−0.04<br>−0.45<br>−0.17<br>−0.35 | 0.19<br>−0.11<br>−0.12<br>0.20<br>0.27<br>0.09<br>−0.18<br>0.38<br>−0.13<br>0.12<br>0.18<br>0.07<br>0.09<br>−0.11 | 0.10<br>−0.37<br>−0.29<br>0.26<br>−0.41<br>−0.40<br>−0.19<br>−0.22<br>0.04<br>0.18<br>−0.22<br>−0.52<br>−0.26<br>−0.24 |
| Average | −0.11 | 0.07 | −0.18 |
| Queriesrelatedtodemocraticdebate | | | |
| democraticdebate<br>demdebate<br>#democraticdebate<br>#demdebate | 0.43<br>0.52<br>0.28<br>0.57 | 0.38<br>0.29<br>0.19<br>0.56 | 0.05<br>0.23<br>0.07<br>0.01 | | | Average | 0.45 | 0.35 | 0.10 |
| --- | --- | --- | --- |
| Queriesrelatedtorepublicandebate | | | |
| republicandebate<br>repdebate<br>#republicandebate<br>#gopdebate | 0.53<br>0.31<br>0.39<br>0.04 | 0.27<br>0.40<br>0.34<br>0.10 | 0.26<br>−0.09<br>0.05<br>−0.06 |
| Average | 0.32 | 0.28 | 0.04 | | 1 |
| Query | OutputBias<br>(TOB) | InputBias<br>(TIB) | RankingBias<br>(TRB) |
| --- | --- | --- | --- |
| QueriesRelatedtoDemocraticCandidates | | | |
| HillaryClinton<br>BernieSanders<br>MartinO’Malley | 0.21<br>0.71<br>0.64 | 0.03<br>0.55<br>0.57 | 0.18<br>0.16<br>0.07 |
| Average | 0.52 | 0.38 | 0.14 |
| QueriesRelatedtoRepublicanCandidates | | | |
| DonaldTrump<br>TedCruz<br>MarcoRubio<br>BenCarson<br>ChrisChristie<br>JebBush<br>RandPaul<br>CarlyFiorina<br>JohnKasich<br>MikeHuckabee<br>RickSantorum<br>LindseyGraham<br>GeorgePataki<br>JimGilmore | 0.29<br>−0.48<br>−0.41<br>0.46<br>−0.14<br>−0.31<br>−0.37<br>0.16<br>−0.09<br>0.30<br>−0.04<br>−0.45<br>−0.17<br>−0.35 | 0.19<br>−0.11<br>−0.12<br>0.20<br>0.27<br>0.09<br>−0.18<br>0.38<br>−0.13<br>0.12<br>0.18<br>0.07<br>0.09<br>−0.11 | 0.10<br>−0.37<br>−0.29<br>0.26<br>−0.41<br>−0.40<br>−0.19<br>−0.22<br>0.04<br>0.18<br>−0.22<br>−0.52<br>−0.26<br>−0.24 |
| Average | −0.11 | 0.07 | −0.18 |
| Queriesrelatedtodemocraticdebate | | | |
| democraticdebate<br>demdebate<br>#democraticdebate<br>#demdebate | 0.43<br>0.52<br>0.28<br>0.57 | 0.38<br>0.29<br>0.19<br>0.56 | 0.05<br>0.23<br>0.07<br>0.01 | | | T1 | T2 | T3 | T4 | T5 |
| --- | --- | --- | --- | --- |
| romney | obama | obama | romney | romney |
| obama | romney | romney | obama | mitt |
| debate | bin | debate | mitt | obama |
| mitt | laden | won | not | gt |
| foreign | mitt | poll | president | plan |
| policy | bayonets | president | like | like |
| president | horses | cbs | amp | point |
| not | debate | think | get | let |
| said | said | mitt | vote | policy |
| presidential | won | news | don | foreign |
| barack | fewer | cnn | people | romneys |
| like | navy | tie | know | five |
| iran | say | wins | election | left |
| won | fact | barack | tonight | president |
| final | like | vote | one | take | | 0 |
| Query | OutputBias<br>(TOB) | InputBias<br>(TIB) | RankingBias<br>(TRB) |
| --- | --- | --- | --- |
| QueriesRelatedtoDemocraticCandidates | | | |
| HillaryClinton<br>BernieSanders<br>MartinO’Malley | 0.21<br>0.71<br>0.64 | 0.03<br>0.55<br>0.57 | 0.18<br>0.16<br>0.07 | | | Average | 0.52 | 0.38 | 0.14 |
| --- | --- | --- | --- |
| QueriesRelatedtoRepublicanCandidates | | | |
| DonaldTrump<br>TedCruz<br>MarcoRubio<br>BenCarson<br>ChrisChristie<br>JebBush<br>RandPaul<br>CarlyFiorina<br>JohnKasich<br>MikeHuckabee<br>RickSantorum<br>LindseyGraham<br>GeorgePataki<br>JimGilmore | 0.29<br>−0.48<br>−0.41<br>0.46<br>−0.14<br>−0.31<br>−0.37<br>0.16<br>−0.09<br>0.30<br>−0.04<br>−0.45<br>−0.17<br>−0.35 | 0.19<br>−0.11<br>−0.12<br>0.20<br>0.27<br>0.09<br>−0.18<br>0.38<br>−0.13<br>0.12<br>0.18<br>0.07<br>0.09<br>−0.11 | 0.10<br>−0.37<br>−0.29<br>0.26<br>−0.41<br>−0.40<br>−0.19<br>−0.22<br>0.04<br>0.18<br>−0.22<br>−0.52<br>−0.26<br>−0.24 |
| Average | −0.11 | 0.07 | −0.18 |
| Queriesrelatedtodemocraticdebate | | | |
| democraticdebate<br>demdebate<br>#democraticdebate<br>#demdebate | 0.43<br>0.52<br>0.28<br>0.57 | 0.38<br>0.29<br>0.19<br>0.56 | 0.05<br>0.23<br>0.07<br>0.01 |
| Average | 0.45 | 0.35 | 0.10 |
| Queriesrelatedtorepublicandebate | | | |
| republicandebate<br>repdebate<br>#republicandebate<br>#gopdebate | 0.53<br>0.31<br>0.39<br>0.04 | 0.27<br>0.40<br>0.34<br>0.10 | 0.26<br>−0.09<br>0.05<br>−0.06 |
| Average | 0.32 | 0.28 | 0.04 | | 1 |
| Query | OutputBias<br>(TOB) | InputBias<br>(TIB) | RankingBias<br>(TRB) |
| --- | --- | --- | --- |
| QueriesRelatedtoDemocraticCandidates | | | |
| HillaryClinton<br>BernieSanders<br>MartinO’Malley | 0.21<br>0.71<br>0.64 | 0.03<br>0.55<br>0.57 | 0.18<br>0.16<br>0.07 | | | debate | bin | debate | mitt | obama |
| --- | --- | --- | --- | --- |
| mitt | laden | won | not | gt |
| foreign | mitt | poll | president | plan |
| policy | bayonets | president | like | like |
| president | horses | cbs | amp | point |
| not | debate | think | get | let |
| said | said | mitt | vote | policy |
| presidential | won | news | don | foreign |
| barack | fewer | cnn | people | romneys |
| like | navy | tie | know | five |
| iran | say | wins | election | left |
| won | fact | barack | tonight | president |
| final | like | vote | one | take | | 0 |
| FK | OGR | ZK | | |
| --- | --- | --- | --- | --- |
| I1 | G1 | 10.00 | 17.35 | 21.50 |
| | G2 | 5.80 | 12.31 | 17.18 |
| | G3 | 9.10 | 16.19 | 20.43 |
| | G4 | 5.80 | 17.10 | 26.03 | | | I2 | G1 | 5.80 | 14.09 | 17.67 |
| --- | --- | --- | --- | --- |
| | G2 | 9.10 | 19.56 | 24.45 |
| | G3 | 10.00 | 15.89 | 25.45 |
| | G4 | 12.35 | 15.32 | 32.62 |
| I3 | G1 | 12.41 | 17.36 | 20.88 |
| | G2 | 10.10 | 18.65 | 24.26 |
| | G3 | 9.24 | 10.62 | 20.66 |
| | G4 | 5.72 | 13.40 | 20.40 | | 1 |
| FK | OGR | ZK | | |
| --- | --- | --- | --- | --- |
| I1 | G1 | 10.00 | 17.35 | 21.50 |
| | G2 | 5.80 | 12.31 | 17.18 |
| | G3 | 9.10 | 16.19 | 20.43 |
| | G4 | 5.80 | 17.10 | 26.03 | | | (a) | (b) | (c) | (d) | (e) | (f) | (g) | (h) | (i) |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 6.85 | 7.24 | 6.03 | 4.53 | 5.77 | 3.19 | 7.63 | 5.09 | 3.68 |
| 7.52 | 6.86 | 5.82 | 4.23 | 5.39 | 2.77 | 7.35 | 5.22 | 3.67 |
| 18.16 | 5.74 | 35.02 | 11.37 | 43.51 | 3.84 | 5.54 | 13.86 | 3.41 |
| 8.55 | 5.59 | 5.96 | 6.17 | 7.30 | 2.90 | 8.48 | 4.88 | 2.93 |
| 7.79 | 4.87 | 5.03 | 4.45 | 4.22 | 3.14 | 6.61 | 4.72 | 2.70 |
| 6.26 | 4.57 | 4.92 | 3.80 | 3.98 | 2.53 | 5.20 | 3.95 | 2.48 |
| 4.38 | 3.79 | 4.34 | 4.60 | 4.47 | 5.83 | 5.36 | 3.73 | 2.81 |
| 6.28 | 5.48 | 5.78 | 6.69 | 6.36 | 7.69 | 6.78 | 6.02 | 3.25 | | 0 |
| FK | OGR | ZK | | |
| --- | --- | --- | --- | --- |
| I1 | G1 | 10.00 | 17.35 | 21.50 |
| | G2 | 5.80 | 12.31 | 17.18 |
| | G3 | 9.10 | 16.19 | 20.43 |
| | G4 | 5.80 | 17.10 | 26.03 |
| I2 | G1 | 5.80 | 14.09 | 17.67 |
| | G2 | 9.10 | 19.56 | 24.45 |
| | G3 | 10.00 | 15.89 | 25.45 |
| | G4 | 12.35 | 15.32 | 32.62 |
| I3 | G1 | 12.41 | 17.36 | 20.88 | | | | G2 | 10.10 | 18.65 | 24.26 |
| --- | --- | --- | --- | --- |
| | G3 | 9.24 | 10.62 | 20.66 |
| | G4 | 5.72 | 13.40 | 20.40 | | 1 |
| FK | OGR | ZK | | |
| --- | --- | --- | --- | --- |
| I1 | G1 | 10.00 | 17.35 | 21.50 |
| | G2 | 5.80 | 12.31 | 17.18 |
| | G3 | 9.10 | 16.19 | 20.43 |
| | G4 | 5.80 | 17.10 | 26.03 |
| I2 | G1 | 5.80 | 14.09 | 17.67 |
| | G2 | 9.10 | 19.56 | 24.45 |
| | G3 | 10.00 | 15.89 | 25.45 |
| | G4 | 12.35 | 15.32 | 32.62 |
| I3 | G1 | 12.41 | 17.36 | 20.88 | | | 18.16 | 5.74 | 35.02 | 11.37 | 43.51 | 3.84 | 5.54 | 13.86 | 3.41 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 8.55 | 5.59 | 5.96 | 6.17 | 7.30 | 2.90 | 8.48 | 4.88 | 2.93 |
| 7.79 | 4.87 | 5.03 | 4.45 | 4.22 | 3.14 | 6.61 | 4.72 | 2.70 |
| 6.26 | 4.57 | 4.92 | 3.80 | 3.98 | 2.53 | 5.20 | 3.95 | 2.48 |
| 4.38 | 3.79 | 4.34 | 4.60 | 4.47 | 5.83 | 5.36 | 3.73 | 2.81 |
| 6.28 | 5.48 | 5.78 | 6.69 | 6.36 | 7.69 | 6.78 | 6.02 | 3.25 | | 0 |
| Micro-F1 | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |
| Deepwalk | 0.7569 | 0.7757 | 0.8013 | 0.8151 | Deepwalk | 0.7421 | 0.7645 | 0.7917 |
| Line | 0.7323 | 0.7179 | 0.7090 | 0.7127 | Line | 0.7142 | 0.7080 | 0.7048 |
| Node2vec | 0.7762 | 0.7936 | 0.8096 | 0.8206 | Node2vec | 0.7651 | 0.7829 | 0.8 |
| TextOnly | 0.7242 | 0.7399 | 0.7344 | 0.6957 | TextOnly | 0.6989 | 0.718 | 0.7097 |
| Naivecombination | 0.7864 | 0.8070 | 0.8198 | 0.8148 | Naivecombination | 0.7629 | 0.7898 | 0.8033 |
| TADW | 0.6732 | 0.7736 | 0.825 | 0.8279 | TADW | 0.5676 | 0.7400 | 0.808 | | | Deepwalk(hete) | 0.7858 | 0.8065 | 0.7951 | 0.7962 | Deepwalk(hete) | 0.7648 | 0.7867 | 0.7757 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Line(hete) | 0.7928 | 0.8131 | 0.7903 | 0.7866 | Line(hete) | 0.7928 | 0.7927 | 0.7663 |
| Node2vec(hete) | 0.8172 | 0.8131 | 0.8064 | 0.7920 | Node2vec(hete) | 0.7957 | 0.7948 | 0.7836 |
| GERI | 0.8559 | 0.8641 | 0.8700 | 0.8637 | GERI | 0.8423 | 0.8508 | 0.8582 | | 1 |
| Micro-F1 | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |
| Deepwalk | 0.7569 | 0.7757 | 0.8013 | 0.8151 | Deepwalk | 0.7421 | 0.7645 | 0.7917 |
| Line | 0.7323 | 0.7179 | 0.7090 | 0.7127 | Line | 0.7142 | 0.7080 | 0.7048 |
| Node2vec | 0.7762 | 0.7936 | 0.8096 | 0.8206 | Node2vec | 0.7651 | 0.7829 | 0.8 |
| TextOnly | 0.7242 | 0.7399 | 0.7344 | 0.6957 | TextOnly | 0.6989 | 0.718 | 0.7097 |
| Naivecombination | 0.7864 | 0.8070 | 0.8198 | 0.8148 | Naivecombination | 0.7629 | 0.7898 | 0.8033 |
| TADW | 0.6732 | 0.7736 | 0.825 | 0.8279 | TADW | 0.5676 | 0.7400 | 0.808 | | | Micro-F1 | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |
| Deepwalk | 0.5600 | 0.5769 | 0.5839 | 0.6027 | Deepwalk | 0.4552 | 0.4896 | 0.5114 |
| Line | 0.5220 | 0.4939 | 0.4895 | 0.5080 | Line | 0.4193 | 0.3920 | 0.3946 |
| Node2vec | 0.5760 | 0.5860 | 0.5952 | 0.6112 | Node2vec | 0.4858 | 0.5040 | 0.525 |
| TextOnly | 0.6113 | 0.6472 | 0.6698 | 0.6894 | TextOnly | 0.6044 | 0.6333 | 0.6521 |
| Naivecombination | 0.7440 | 0.7476 | 0.7524 | 0.7511 | Naivecombination | 0.718 | 0.7233 | 0.7284 |
| TADW | 0.5023 | 0.6031 | 0.6657 | 0.7179 | TADW | 0.4925 | 0.5904 | 0.6497 |
| Deepwalk(hete) | 0.7555 | 0.7582 | 0.7684 | 0.7771 | Deepwalk(hete) | 0.7299 | 0.7319 | 0.7451 |
| Line(hete) | 0.7669 | 0.7703 | 0.7792 | 0.7853 | Line(hete) | 0.7442 | 0.7479 | 0.7578 |
| Node2vec(hete) | 0.7553 | 0.7623 | 0.7716 | 0.7787 | Node2vec(hete) | 0.7294 | 0.7387 | 0.7495 |
| GERI | 0.7695 | 0.7786 | 0.7867 | 0.7919 | GERI | 0.7474 | 0.7548 | 0.7646 | | 0 |
| Micro-F1 | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |
| Deepwalk | 0.7569 | 0.7757 | 0.8013 | 0.8151 | Deepwalk | 0.7421 | 0.7645 | 0.7917 |
| Line | 0.7323 | 0.7179 | 0.7090 | 0.7127 | Line | 0.7142 | 0.7080 | 0.7048 |
| Node2vec | 0.7762 | 0.7936 | 0.8096 | 0.8206 | Node2vec | 0.7651 | 0.7829 | 0.8 |
| TextOnly | 0.7242 | 0.7399 | 0.7344 | 0.6957 | TextOnly | 0.6989 | 0.718 | 0.7097 |
| Naivecombination | 0.7864 | 0.8070 | 0.8198 | 0.8148 | Naivecombination | 0.7629 | 0.7898 | 0.8033 |
| TADW | 0.6732 | 0.7736 | 0.825 | 0.8279 | TADW | 0.5676 | 0.7400 | 0.808 |
| Deepwalk(hete) | 0.7858 | 0.8065 | 0.7951 | 0.7962 | Deepwalk(hete) | 0.7648 | 0.7867 | 0.7757 | | | Line(hete) | 0.7928 | 0.8131 | 0.7903 | 0.7866 | Line(hete) | 0.7928 | 0.7927 | 0.7663 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Node2vec(hete) | 0.8172 | 0.8131 | 0.8064 | 0.7920 | Node2vec(hete) | 0.7957 | 0.7948 | 0.7836 |
| GERI | 0.8559 | 0.8641 | 0.8700 | 0.8637 | GERI | 0.8423 | 0.8508 | 0.8582 | | 1 |
| Micro-F1 | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Algorithm | d=16 | d=32 | d=64 | d=128 | Algorithm | d=16 | d=32 | d=64 |
| Deepwalk | 0.7569 | 0.7757 | 0.8013 | 0.8151 | Deepwalk | 0.7421 | 0.7645 | 0.7917 |
| Line | 0.7323 | 0.7179 | 0.7090 | 0.7127 | Line | 0.7142 | 0.7080 | 0.7048 |
| Node2vec | 0.7762 | 0.7936 | 0.8096 | 0.8206 | Node2vec | 0.7651 | 0.7829 | 0.8 |
| TextOnly | 0.7242 | 0.7399 | 0.7344 | 0.6957 | TextOnly | 0.6989 | 0.718 | 0.7097 |
| Naivecombination | 0.7864 | 0.8070 | 0.8198 | 0.8148 | Naivecombination | 0.7629 | 0.7898 | 0.8033 |
| TADW | 0.6732 | 0.7736 | 0.825 | 0.8279 | TADW | 0.5676 | 0.7400 | 0.808 |
| Deepwalk(hete) | 0.7858 | 0.8065 | 0.7951 | 0.7962 | Deepwalk(hete) | 0.7648 | 0.7867 | 0.7757 | | | TADW | 0.5023 | 0.6031 | 0.6657 | 0.7179 | TADW | 0.4925 | 0.5904 | 0.6497 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Deepwalk(hete) | 0.7555 | 0.7582 | 0.7684 | 0.7771 | Deepwalk(hete) | 0.7299 | 0.7319 | 0.7451 |
| Line(hete) | 0.7669 | 0.7703 | 0.7792 | 0.7853 | Line(hete) | 0.7442 | 0.7479 | 0.7578 |
| Node2vec(hete) | 0.7553 | 0.7623 | 0.7716 | 0.7787 | Node2vec(hete) | 0.7294 | 0.7387 | 0.7495 |
| GERI | 0.7695 | 0.7786 | 0.7867 | 0.7919 | GERI | 0.7474 | 0.7548 | 0.7646 | | 0 |
| Method | #Params | Training | | |
| --- | --- | --- | --- | --- |
| #InputFrames | TemporalFootprint | #InputFrames | | |
| (a)ConvNet+LSTM | 29M | 25rgb | 5s | 50rgb | | | (b)Two-Stream | 48M | 1rgb,10flow | 0.4s | 25rgb,250flow |
| --- | --- | --- | --- | --- |
| (c)3D-ConvNet | 79M | 16rgb | 0.64s | 240rgb | | 1 |
| Method | #Params | Training | | |
| --- | --- | --- | --- | --- |
| #InputFrames | TemporalFootprint | #InputFrames | | |
| (a)ConvNet+LSTM | 29M | 25rgb | 5s | 50rgb | | | Method | #Params | Training | | |
| --- | --- | --- | --- | --- |
| #InputFrames | TemporalFootprint | #InputFrames | | |
| ConvNet+LSTM | 9M | 25rgb | 5s | 50rgb |
| 3D-ConvNet | 79M | 16rgb | 0.64s | 240rgb |
| Two-Stream | 12M | 1rgb,10flow | 0.4s | 25rgb,250flow |
| 3D-Fused | 39M | 5rgb,50flow | 2s | 25rgb,250flow |
| Two-StreamI3D | 25M | 64rgb,64flow | 2.56s | 250rgb,250flow | | 0 |
| Method | #Params | Training |
| --- | --- | --- |
| #InputFrames | TemporalFootprint | #InputFrames | | | (a)ConvNet+LSTM | 29M | 25rgb | 5s | 50rgb |
| --- | --- | --- | --- | --- |
| (b)Two-Stream | 48M | 1rgb,10flow | 0.4s | 25rgb,250flow |
| (c)3D-ConvNet | 79M | 16rgb | 0.64s | 240rgb | | 1 |
| Method | #Params | Training |
| --- | --- | --- |
| #InputFrames | TemporalFootprint | #InputFrames | | | 3D-Fused | 39M | 5rgb,50flow | 2s | 25rgb,250flow |
| --- | --- | --- | --- | --- |
| Two-StreamI3D | 25M | 64rgb,64flow | 2.56s | 250rgb,250flow | | 0 |
| Algorithm | Precision | Recall | F-measure | Timecost |
| --- | --- | --- | --- | --- |
| Proposed | 0.83 | 0.67 | 0.74 | 2.1s |
| Yinetal. | 0.81 | 0.63 | 0.71 | 1.4s |
| Kangetal. | 0.71 | 0.62 | 0.66 | - | | | Yinetal. | 0.71 | 0.61 | 0.65 | 0.8s |
| --- | --- | --- | --- | --- |
| Yaoetal. | 0.63 | 0.63 | 0.60 | 7.2s | | 1 |
| Algorithm | Precision | Recall | F-measure | Timecost |
| --- | --- | --- | --- | --- |
| Proposed | 0.83 | 0.67 | 0.74 | 2.1s |
| Yinetal. | 0.81 | 0.63 | 0.71 | 1.4s |
| Kangetal. | 0.71 | 0.62 | 0.66 | - | | | Algorithm | Precision | Recall | F-measure |
| --- | --- | --- | --- |
| Proposed | 0.77 | 0.70 | 0.74 |
| Zhangetal. | 0.83 | 0.67 | 0.74 |
| Yinetal. | 0.81 | 0.63 | 0.71 |
| Kangetal. | 0.71 | 0.62 | 0.66 |
| Yaoetal. | 0.63 | 0.63 | 0.60 | | 0 |
| Algorithm | Precision | Recall | F-measure | Timecost |
| --- | --- | --- | --- | --- |
| Proposed | 0.83 | 0.67 | 0.74 | 2.1s | | | Yinetal. | 0.81 | 0.63 | 0.71 | 1.4s |
| --- | --- | --- | --- | --- |
| Kangetal. | 0.71 | 0.62 | 0.66 | - |
| Yinetal. | 0.71 | 0.61 | 0.65 | 0.8s |
| Yaoetal. | 0.63 | 0.63 | 0.60 | 7.2s | | 1 |
| Algorithm | Precision | Recall | F-measure | Timecost |
| --- | --- | --- | --- | --- |
| Proposed | 0.83 | 0.67 | 0.74 | 2.1s | | | Yinetal. | 0.81 | 0.63 | 0.71 |
| --- | --- | --- | --- |
| Kangetal. | 0.71 | 0.62 | 0.66 |
| Yaoetal. | 0.63 | 0.63 | 0.60 | | 0 |
| N | Co-locationRule | ExpSup | ExpConf |
| --- | --- | --- | --- |
| 1 | C→D1 | 763.1 | 0.41 |
| 2 | C→D2 | 765.8 | 0.42 |
| 3 | C→D3 | 717.1 | 0.26 |
| 4 | C→D4 | 807.8 | 0.30 |
| 5 | C→D5 | 1,256.6 | 0.34 |
| 6 | C+C→D12 | 432.8 | 0.50 |
| 7 | C+C→D14 | −3<br>1.0·10 | 0.82 |
| 8 | C+C→D15 | 10.6 | 0.49 |
| 9 | C+C→D24 | 0.4 | 0.49 |
| 10 | C+C→D25 | 14.4 | 0.44 | | | 11 | C+C→D34 | 390.5 | 0.53 |
| --- | --- | --- | --- |
| 12 | C+C→D56 | 2.8 | 0.08 |
| 13 | C+C+C→D124 | −4<br>4.8·10 | 0.83 |
| 14 | C+C+C→D125 | 7.9 | 0.51 | | 1 |
| N | Co-locationRule | ExpSup | ExpConf |
| --- | --- | --- | --- |
| 1 | C→D1 | 763.1 | 0.41 |
| 2 | C→D2 | 765.8 | 0.42 |
| 3 | C→D3 | 717.1 | 0.26 |
| 4 | C→D4 | 807.8 | 0.30 |
| 5 | C→D5 | 1,256.6 | 0.34 |
| 6 | C+C→D12 | 432.8 | 0.50 |
| 7 | C+C→D14 | −3<br>1.0·10 | 0.82 |
| 8 | C+C→D15 | 10.6 | 0.49 |
| 9 | C+C→D24 | 0.4 | 0.49 |
| 10 | C+C→D25 | 14.4 | 0.44 | | | nv04 | #ret | Av.P | Av.R | Av.F | Difference |
| --- | --- | --- | --- | --- | --- |
| p0.7 | 5713 | 0.495 | 0.864 | 0.615 | 192novelin<br>492extra |
| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 | |
| sp0.7s2.0 | 6205 | 0.487 | 0.911 | 0.620 | 80novelin<br>347extra |
| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 | |
| sp0.7s3.0 | 6552 | 0.475 | 0.929 | 0.615 | 56novelin<br>266extra |
| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 | |
| sp0.7s4.0 | 6818 | 0.466 | 0.942 | 0.609 | 15novelin<br>75extra |
| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 | |
| sp0.7s5.0 | 6893 | 0.464 | 0.945 | 0.608 | 22novelin<br>72extra |
| o0.7 | 6965 | 0.462 | 0.950 | 0.608 | |
| nv03 | #ret | Av.P | Av.R | Av.F | Difference |
| p0.7 | 9127 | 0.755 | 0.762 | 0.744 | 2763novel<br>4123extra |
| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | |
| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | 25novel<br>53extra |
| o0.7 | 13303 | 0.719 | 0.972 | 0.815 | |
| nvyiz | #ret | Av.P | Av.R | Av.F | Difference |
| sp0.8s5.0 | 9199 | 0.914 | 0.978 | 0.943 | 70novel<br>97extra |
| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | |
| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | 19novel<br>53extra |
| o0.8 | 9349 | 0.909 | 0.988 | 0.945 | | | 0 |
| N | Co-locationRule | ExpSup | ExpConf |
| --- | --- | --- | --- |
| 1 | C→D1 | 763.1 | 0.41 |
| 2 | C→D2 | 765.8 | 0.42 |
| 3 | C→D3 | 717.1 | 0.26 |
| 4 | C→D4 | 807.8 | 0.30 |
| 5 | C→D5 | 1,256.6 | 0.34 |
| 6 | C+C→D12 | 432.8 | 0.50 |
| 7 | C+C→D14 | −3<br>1.0·10 | 0.82 | | | 8 | C+C→D15 | 10.6 | 0.49 |
| --- | --- | --- | --- |
| 9 | C+C→D24 | 0.4 | 0.49 |
| 10 | C+C→D25 | 14.4 | 0.44 |
| 11 | C+C→D34 | 390.5 | 0.53 |
| 12 | C+C→D56 | 2.8 | 0.08 |
| 13 | C+C+C→D124 | −4<br>4.8·10 | 0.83 |
| 14 | C+C+C→D125 | 7.9 | 0.51 | | 1 |
| N | Co-locationRule | ExpSup | ExpConf |
| --- | --- | --- | --- |
| 1 | C→D1 | 763.1 | 0.41 |
| 2 | C→D2 | 765.8 | 0.42 |
| 3 | C→D3 | 717.1 | 0.26 |
| 4 | C→D4 | 807.8 | 0.30 |
| 5 | C→D5 | 1,256.6 | 0.34 |
| 6 | C+C→D12 | 432.8 | 0.50 |
| 7 | C+C→D14 | −3<br>1.0·10 | 0.82 | | | o0.7 | 6965 | 0.462 | 0.950 | 0.608 | |
| --- | --- | --- | --- | --- | --- |
| nv03 | #ret | Av.P | Av.R | Av.F | Difference |
| p0.7 | 9127 | 0.755 | 0.762 | 0.744 | 2763novel<br>4123extra |
| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | |
| sp0.7s5.0 | 13250 | 0.720 | 0.969 | 0.815 | 25novel<br>53extra |
| o0.7 | 13303 | 0.719 | 0.972 | 0.815 | |
| nvyiz | #ret | Av.P | Av.R | Av.F | Difference |
| sp0.8s5.0 | 9199 | 0.914 | 0.978 | 0.943 | 70novel<br>97extra |
| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | |
| sp0.8s6.0 | 9296 | 0.911 | 0.985 | 0.946 | 19novel<br>53extra |
| o0.8 | 9349 | 0.909 | 0.988 | 0.945 | | | 0 |
| | Base | DP | IKE-PSK | IKE-CPK |
| --- | --- | --- | --- | --- |
| (A) | 10<br>179<br>188<br>23 | 10<br>401<br>299<br>23 | 10<br>445<br>321<br>23 | 666<br>1697<br>947<br>23 | | | (B) | | | | |
| --- | --- | --- | --- | --- |
| (C) | | | | |
| (F) | | | | |
| AccessToken | 172 | 283 | 305 | 931 | | 1 |
| | Base | DP | IKE-PSK | IKE-CPK |
| --- | --- | --- | --- | --- |
| (A) | 10<br>179<br>188<br>23 | 10<br>401<br>299<br>23 | 10<br>445<br>321<br>23 | 666<br>1697<br>947<br>23 | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | 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 | | 0 |
| | Base | DP | IKE-PSK | IKE-CPK |
| --- | --- | --- | --- | --- |
| (A) | 10<br>179<br>188<br>23 | 10<br>401<br>299<br>23 | 10<br>445<br>321<br>23 | 666<br>1697<br>947<br>23 |
| (B) | | | | |
| (C) | | | | | | | (F) | | | | |
| --- | --- | --- | --- | --- |
| AccessToken | 172 | 283 | 305 | 931 | | 1 |
| | Base | DP | IKE-PSK | IKE-CPK |
| --- | --- | --- | --- | --- |
| (A) | 10<br>179<br>188<br>23 | 10<br>401<br>299<br>23 | 10<br>445<br>321<br>23 | 666<br>1697<br>947<br>23 |
| (B) | | | | |
| (C) | | | | | | | HappyNet | 1692 | 413 | 244 | 5143 | 2823 | 549 | 699 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Dexpression | 1697 | 80 | 47 | 4910 | 832 | 170 | 679 |
| EmotiWrgb | 1682 | 410 | 244 | 5146 | 2834 | 550 | 714 | | 0 |
| Method | Dim | mAP |
| --- | --- | --- |
| Rawpatch | 4,761 | 34.79 |
| SIFT | 128 | 45.32 |
| DSP-SIFT | 128 | 53.72 |
| CNN-L3 | 9,216 | 48.99 | | | CNN-L4 | 8,192 | 50.55 |
| --- | --- | --- |
| DSP-CNN-L3 | 9,216 | 52.76 |
| DSP-CNN-L4 | 8,192 | 53.07 |
| DSP-CNN-L3-L4 | 17,408 | 53.74 |
| DSP-CNN-L3(PCA128) | 128 | 51.45 |
| DSP-CNN-L4(PCA128) | 128 | 52.33 |
| DSP-CNN-L34(concat.PCA128) | 256 | 52.69 | | 1 |
| Method | Dim | mAP |
| --- | --- | --- |
| Rawpatch | 4,761 | 34.79 |
| SIFT | 128 | 45.32 |
| DSP-SIFT | 128 | 53.72 |
| CNN-L3 | 9,216 | 48.99 | | | CNNsName | VGG-F | VGG-M | VGG-S | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU | PreReLU | PostReLU |
| Dimensions | 43264 | 43264 | 86528 | 86528 | 147968 | 147968 | 100352 |
| Selection | SU(10) | SU(15) | SU(10) | SU(15) | RF(15) | SU(10) | SU(15) |
| Classifier | NB | NB | NB | RFT | NB | RFT | NB |
| Accuracy | 87.13 | 84.72 | 86.32 | 83.06 | 86.31 | 84.13 | 88.23 |
| AUC | 0.713 | 0.764 | 0.754 | 0.663 | 0.711 | 0.703 | 0.797 | | 0 |
| Method | Dim | mAP |
| --- | --- | --- |
| Rawpatch | 4,761 | 34.79 |
| SIFT | 128 | 45.32 |
| DSP-SIFT | 128 | 53.72 |
| CNN-L3 | 9,216 | 48.99 |
| CNN-L4 | 8,192 | 50.55 |
| DSP-CNN-L3 | 9,216 | 52.76 |
| DSP-CNN-L4 | 8,192 | 53.07 |
| DSP-CNN-L3-L4 | 17,408 | 53.74 | | | DSP-CNN-L3(PCA128) | 128 | 51.45 |
| --- | --- | --- |
| DSP-CNN-L4(PCA128) | 128 | 52.33 |
| DSP-CNN-L34(concat.PCA128) | 256 | 52.69 | | 1 |
| Method | Dim | mAP |
| --- | --- | --- |
| Rawpatch | 4,761 | 34.79 |
| SIFT | 128 | 45.32 |
| DSP-SIFT | 128 | 53.72 |
| CNN-L3 | 9,216 | 48.99 |
| CNN-L4 | 8,192 | 50.55 |
| DSP-CNN-L3 | 9,216 | 52.76 |
| DSP-CNN-L4 | 8,192 | 53.07 |
| DSP-CNN-L3-L4 | 17,408 | 53.74 | | | Accuracy | 87.13 | 84.72 | 86.32 | 83.06 | 86.31 | 84.13 | 88.23 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| AUC | 0.713 | 0.764 | 0.754 | 0.663 | 0.711 | 0.703 | 0.797 | | 0 |
| Method | Scene1 | Scene2 | Scene3 | Scene4 | Scene5 | Average |
| --- | --- | --- | --- | --- | --- | --- |
| LBPfeatures+ridgeregression | 13.6 | 59.8 | 37.1 | 21.8 | 23.4 | 31.0 |
| DeepCNN | 9.8 | 14.1 | 14.3 | 22.2 | 3.7 | 12.9 | | | Multi-columnCNN | 3.4 | 20.6 | 12.9 | 13.0 | 8.1 | 11.6 |
| --- | --- | --- | --- | --- | --- | --- |
| ConvLSTM-nt | 8.6 | 16.9 | 14.6 | 15.4 | 4.0 | 11.9 |
| ConvLSTM | 7.1 | 15.2 | 15.2 | 13.9 | 3.5 | 10.9 |
| BidirectionalConvLSTM | 6.8 | 14.5 | 14.9 | 13.5 | 3.1 | 10.6 | | 1 |
| Method | Scene1 | Scene2 | Scene3 | Scene4 | Scene5 | Average |
| --- | --- | --- | --- | --- | --- | --- |
| LBPfeatures+ridgeregression | 13.6 | 59.8 | 37.1 | 21.8 | 23.4 | 31.0 |
| DeepCNN | 9.8 | 14.1 | 14.3 | 22.2 | 3.7 | 12.9 | | | Method | MAE | MSE |
| --- | --- | --- |
| Gaussianprocessregression | 2.24 | 7.97 |
| Ridgeregression | 2.25 | 7.82 |
| Cumulativeattributeregression | 2.07 | 6.90 |
| Densitymap+MESA | 1.70 | - |
| Countforest | 1.60 | 4.40 |
| CrowdCNN | 1.60 | 3.31 |
| Multi-columnCNN | 1.07 | 1.35 |
| HydraCNN | 1.65 | - |
| CNNboosting | 1.10 | - |
| ConvLSTM-nt | 1.73 | 3.52 |
| ConvLSTM | 1.30 | 1.79 |
| BidirectionalConvLSTM | 1.13 | 1.43 | | 0 |
| Method | Scene1 | Scene2 | Scene3 | Scene4 | Scene5 | Average |
| --- | --- | --- | --- | --- | --- | --- |
| LBPfeatures+ridgeregression | 13.6 | 59.8 | 37.1 | 21.8 | 23.4 | 31.0 |
| DeepCNN | 9.8 | 14.1 | 14.3 | 22.2 | 3.7 | 12.9 |
| Multi-columnCNN | 3.4 | 20.6 | 12.9 | 13.0 | 8.1 | 11.6 | | | ConvLSTM-nt | 8.6 | 16.9 | 14.6 | 15.4 | 4.0 | 11.9 |
| --- | --- | --- | --- | --- | --- | --- |
| ConvLSTM | 7.1 | 15.2 | 15.2 | 13.9 | 3.5 | 10.9 |
| BidirectionalConvLSTM | 6.8 | 14.5 | 14.9 | 13.5 | 3.1 | 10.6 | | 1 |
| Method | Scene1 | Scene2 | Scene3 | Scene4 | Scene5 | Average |
| --- | --- | --- | --- | --- | --- | --- |
| LBPfeatures+ridgeregression | 13.6 | 59.8 | 37.1 | 21.8 | 23.4 | 31.0 |
| DeepCNN | 9.8 | 14.1 | 14.3 | 22.2 | 3.7 | 12.9 |
| Multi-columnCNN | 3.4 | 20.6 | 12.9 | 13.0 | 8.1 | 11.6 | | | Cumulativeattributeregression | 2.07 | 6.90 |
| --- | --- | --- |
| Densitymap+MESA | 1.70 | - |
| Countforest | 1.60 | 4.40 |
| CrowdCNN | 1.60 | 3.31 |
| Multi-columnCNN | 1.07 | 1.35 |
| HydraCNN | 1.65 | - |
| CNNboosting | 1.10 | - |
| ConvLSTM-nt | 1.73 | 3.52 |
| ConvLSTM | 1.30 | 1.79 |
| BidirectionalConvLSTM | 1.13 | 1.43 | | 0 |
| Numberofpairsexcluded | |
| --- | --- |
| EdgeThreshold(60 | 3398 |
| 65 | 3440 |
| 70 | 3428 |
| 75 | 3409 |
| 80 | 2696 |
| 85 | 2409 | | | 90 | 1837 |
| --- | --- |
| 95 | 1707 | | 1 |
| Numberofpairsexcluded | |
| --- | --- |
| EdgeThreshold(60 | 3398 |
| 65 | 3440 |
| 70 | 3428 |
| 75 | 3409 |
| 80 | 2696 |
| 85 | 2409 | | | | Max | Ave | Min |
| --- | --- | --- | --- |
| Numberofnodes | 43,545 | 41,978 | 40,445 |
| Numberofedges | 84,451 | 82,790 | 80,923 |
| Diameter | 13 | 11 | 9 |
| Averageshortestpathlength | 8.31 | 5.97 | 4.71 |
| Numberofclusters | 223 | 148 | 103 | | 0 |
| Numberofpairsexcluded | |
| --- | --- |
| EdgeThreshold(60 | 3398 |
| 65 | 3440 |
| 70 | 3428 | | | 75 | 3409 |
| --- | --- |
| 80 | 2696 |
| 85 | 2409 |
| 90 | 1837 |
| 95 | 1707 | | 1 |
| Numberofpairsexcluded | |
| --- | --- |
| EdgeThreshold(60 | 3398 |
| 65 | 3440 |
| 70 | 3428 | | | Averageshortestpathlength | 8.31 | 5.97 | 4.71 |
| --- | --- | --- | --- |
| Numberofclusters | 223 | 148 | 103 | | 0 |
| | ASD | PASCAL-S | ECSSD | DUT-OMRON | THUR15K |
| --- | --- | --- | --- | --- | --- |
| Ours | 0.924 | 0.771 | 0.867 | 0.719 | 0.731 |
| MCDL | 0.928 | 0.737 | 0.837 | 0.703 | 0.686 |
| MDF | 0.931 | 0.759 | 0.831 | 0.694 | 0.670 |
| LEGS | 0.905 | 0.749 | 0.831 | 0.669 | 0.664 |
| DRFI | 0.919 | 0.692 | 0.787 | 0.665 | 0.670 |
| DSR | 0.886 | 0.645 | 0.737 | 0.626 | 0.611 | | | GMR | 0.909 | 0.664 | 0.740 | 0.610 | 0.597 |
| --- | --- | --- | --- | --- | --- |
| HDCT | 0.884 | 0.604 | 0.705 | 0.609 | 0.602 |
| HS | 0.902 | 0.637 | 0.731 | 0.616 | 0.585 | | 1 |
| | ASD | PASCAL-S | ECSSD | DUT-OMRON | THUR15K |
| --- | --- | --- | --- | --- | --- |
| Ours | 0.924 | 0.771 | 0.867 | 0.719 | 0.731 |
| MCDL | 0.928 | 0.737 | 0.837 | 0.703 | 0.686 |
| MDF | 0.931 | 0.759 | 0.831 | 0.694 | 0.670 |
| LEGS | 0.905 | 0.749 | 0.831 | 0.669 | 0.664 |
| DRFI | 0.919 | 0.692 | 0.787 | 0.665 | 0.670 |
| DSR | 0.886 | 0.645 | 0.737 | 0.626 | 0.611 | | | | L1dline | DRAMpage | VMpage | VMsuperpage |
| --- | --- | --- | --- | --- |
| Pseudorandom | 0.42 | 0.53 | 0.44 | 0.42 |
| BFS | 0.36 | 0.43 | 0.26 | 0.07 |
| DFS | 0.33 | 0.23 | 0.19 | 0.11 |
| VEB | 0.24 | 0.15 | 0.05 | 0.02 |
| 64 | 0.25 | 0.19 | 0.10 | 0.03 |
| 1K | 0.31 | 0.19 | 0.07 | 0.02 |
| 4K | 0.32 | 0.25 | 0.07 | 0.02 |
| 2M | 0.33 | 0.34 | 0.14 | 0.02 |
| 64+1K+4K+2M | 0.25 | 0.17 | 0.06 | 0.02 | | 0 |
| | ASD | PASCAL-S | ECSSD | DUT-OMRON | THUR15K |
| --- | --- | --- | --- | --- | --- |
| Ours | 0.924 | 0.771 | 0.867 | 0.719 | 0.731 |
| MCDL | 0.928 | 0.737 | 0.837 | 0.703 | 0.686 |
| MDF | 0.931 | 0.759 | 0.831 | 0.694 | 0.670 | | | LEGS | 0.905 | 0.749 | 0.831 | 0.669 | 0.664 |
| --- | --- | --- | --- | --- | --- |
| DRFI | 0.919 | 0.692 | 0.787 | 0.665 | 0.670 |
| DSR | 0.886 | 0.645 | 0.737 | 0.626 | 0.611 |
| GMR | 0.909 | 0.664 | 0.740 | 0.610 | 0.597 |
| HDCT | 0.884 | 0.604 | 0.705 | 0.609 | 0.602 |
| HS | 0.902 | 0.637 | 0.731 | 0.616 | 0.585 | | 1 |
| | ASD | PASCAL-S | ECSSD | DUT-OMRON | THUR15K |
| --- | --- | --- | --- | --- | --- |
| Ours | 0.924 | 0.771 | 0.867 | 0.719 | 0.731 |
| MCDL | 0.928 | 0.737 | 0.837 | 0.703 | 0.686 |
| MDF | 0.931 | 0.759 | 0.831 | 0.694 | 0.670 | | | BFS | 0.36 | 0.43 | 0.26 | 0.07 |
| --- | --- | --- | --- | --- |
| DFS | 0.33 | 0.23 | 0.19 | 0.11 |
| VEB | 0.24 | 0.15 | 0.05 | 0.02 |
| 64 | 0.25 | 0.19 | 0.10 | 0.03 |
| 1K | 0.31 | 0.19 | 0.07 | 0.02 |
| 4K | 0.32 | 0.25 | 0.07 | 0.02 |
| 2M | 0.33 | 0.34 | 0.14 | 0.02 |
| 64+1K+4K+2M | 0.25 | 0.17 | 0.06 | 0.02 | | 0 |
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