premise string | hypothesis string | label int64 |
|---|---|---|
| Player | Mean | Min. | Max. | Std.Dev. |
| --- | --- | --- | --- | --- |
| HelloWorldAI | 12735 | 3290 | 32780 | 6759 |
| Ensemble(Emu3safe) | 39297 | 4540 | 68910 | 14943 |
| Ensemble(Emu3slow) | 71259 | 9360 | 136310 | 26383 |
| Ensemble(Sim3safe) | 46672 | 6250 | 109190 | 21528 |
| Ensemble(Sim8safe) | 51447 | 13600 | 105440 | 19175 |
| Ensemble(Sim20safe) | 55843 | 15350 | 101660 | 21258 |
| MCTS(symmetric) | 57151 | 5260 | 95560 | 17068 | | | MCTS(asymmetric) | 58058 | 19500 | 96120 | 16155 |
| --- | --- | --- | --- | --- |
| NoFruitEnsemble | 69779 | 21990 | 105770 | 22236 |
| FinalEnsemble | 102238 | 8060 | 155640 | 29520 |
| SimOnlyEnsemble | 74820 | 9160 | 124440 | 25573 | | 1 |
| Player | Mean | Min. | Max. | Std.Dev. |
| --- | --- | --- | --- | --- |
| HelloWorldAI | 12735 | 3290 | 32780 | 6759 |
| Ensemble(Emu3safe) | 39297 | 4540 | 68910 | 14943 |
| Ensemble(Emu3slow) | 71259 | 9360 | 136310 | 26383 |
| Ensemble(Sim3safe) | 46672 | 6250 | 109190 | 21528 |
| Ensemble(Sim8safe) | 51447 | 13600 | 105440 | 19175 |
| Ensemble(Sim20safe) | 55843 | 15350 | 101660 | 21258 |
| MCTS(symmetric) | 57151 | 5260 | 95560 | 17068 | | | Methodno. | Rank/Score | F-Measure | pseudoF-Measure | PSNR | DRD |
| --- | --- | --- | --- | --- | --- |
| 1 | 1/51.3792 | 88.55 | 92.25 | 18.28 | 5.57 |
| 2 | 3/50.2433 | 86.79 | 86.29 | 17.64 | 6.08 |
| 3 | 2/50.7329 | 87.30 | 89.50 | 17.95 | 5.87 |
| Otsu | - | 77.75 | 79.98 | 15.42 | 31.11 |
| GridbasedSauvola | - | 85.29 | 87.75 | 17.73 | 9.99 |
| ESBK | - | 84.03 | 86.43 | 17.60 | 14.79 |
| Su’smethod | - | 88.21 | 88.82 | 18.27 | 5.44 |
| PC | - | 90.19 | 91.35 | 19.89 | 5.23 |
| Howe | - | 89.58 | 91.88 | 18.53 | 4.11 | | 0 |
| Player | Mean | Min. | Max. | Std.Dev. |
| --- | --- | --- | --- | --- |
| HelloWorldAI | 12735 | 3290 | 32780 | 6759 | | | Ensemble(Emu3safe) | 39297 | 4540 | 68910 | 14943 |
| --- | --- | --- | --- | --- |
| Ensemble(Emu3slow) | 71259 | 9360 | 136310 | 26383 |
| Ensemble(Sim3safe) | 46672 | 6250 | 109190 | 21528 |
| Ensemble(Sim8safe) | 51447 | 13600 | 105440 | 19175 |
| Ensemble(Sim20safe) | 55843 | 15350 | 101660 | 21258 |
| MCTS(symmetric) | 57151 | 5260 | 95560 | 17068 |
| MCTS(asymmetric) | 58058 | 19500 | 96120 | 16155 |
| NoFruitEnsemble | 69779 | 21990 | 105770 | 22236 |
| FinalEnsemble | 102238 | 8060 | 155640 | 29520 |
| SimOnlyEnsemble | 74820 | 9160 | 124440 | 25573 | | 1 |
| Player | Mean | Min. | Max. | Std.Dev. |
| --- | --- | --- | --- | --- |
| HelloWorldAI | 12735 | 3290 | 32780 | 6759 | | | Su’smethod | - | 88.21 | 88.82 | 18.27 | 5.44 |
| --- | --- | --- | --- | --- | --- |
| PC | - | 90.19 | 91.35 | 19.89 | 5.23 |
| Howe | - | 89.58 | 91.88 | 18.53 | 4.11 | | 0 |
| | CPD | WP | | |
| --- | --- | --- | --- | --- |
| AP | DT(ms) | AP | DT(ms) | |
| SSD500 | 0.405 | 128 | 0.255 | 570 |
| SSD300 | 0.400 | 74 | 0.264 | 530 | | | YOLOv2 | 0.398 | 70 | 0.261 | 790 |
| --- | --- | --- | --- | --- |
| Ourmethod | 0.503 | 243 | 0.379 | 619 | | 1 |
| | CPD | WP | | |
| --- | --- | --- | --- | --- |
| AP | DT(ms) | AP | DT(ms) | |
| SSD500 | 0.405 | 128 | 0.255 | 570 |
| SSD300 | 0.400 | 74 | 0.264 | 530 | | | Objectiveevaluation | | | | | |
| --- | --- | --- | --- | --- | --- |
| Method | SSIM | PSNR | MSE | MI | UIQI |
| DCT+Acmax | 0.9763 | 34.9162 | 20.9634 | 3.7848 | 0.8303 |
| DCT+Acmax+Cv | 0.9759 | 34.8722 | 21.1768 | 3.7763 | 0.8284 |
| DCT+Varience | 0.979 | 35.1015 | 20.0879 | 3.9204 | 0.8319 |
| DCT+Varience+Cv | 0.9806 | 35.4844 | 18.3926 | 3.9512 | 0.8393 |
| DCT+SF | 0.9844 | 36.2023 | 15.59 | 4.0281 | 0.8457 |
| DCT+SF+Cv | 0.9844 | 36.2036 | 15.5856 | 4.0282 | 0.8457 |
| DCT+Ampmax(Proposed) | 0.9836 | 36.1464 | 15.7923 | 4.005 | 0.8415 |
| DCT+Ampmax+Cv(Proposed) | 0.9836 | 36.1498 | 15.78 | 4.005 | 0.8415 | | 0 |
| | CPD | WP | |
| --- | --- | --- | --- |
| AP | DT(ms) | AP | DT(ms) | | | SSD500 | 0.405 | 128 | 0.255 | 570 |
| --- | --- | --- | --- | --- |
| SSD300 | 0.400 | 74 | 0.264 | 530 |
| YOLOv2 | 0.398 | 70 | 0.261 | 790 |
| Ourmethod | 0.503 | 243 | 0.379 | 619 | | 1 |
| | CPD | WP | |
| --- | --- | --- | --- |
| AP | DT(ms) | AP | DT(ms) | | | DCT+Varience+Cv | 0.9806 | 35.4844 | 18.3926 | 3.9512 | 0.8393 |
| --- | --- | --- | --- | --- | --- |
| DCT+SF | 0.9844 | 36.2023 | 15.59 | 4.0281 | 0.8457 |
| DCT+SF+Cv | 0.9844 | 36.2036 | 15.5856 | 4.0282 | 0.8457 |
| DCT+Ampmax(Proposed) | 0.9836 | 36.1464 | 15.7923 | 4.005 | 0.8415 |
| DCT+Ampmax+Cv(Proposed) | 0.9836 | 36.1498 | 15.78 | 4.005 | 0.8415 | | 0 |
| q | Example1 | Example2 | Example3 | | | |
| --- | --- | --- | --- | --- | --- | --- |
| E1 | E2 | E1 | E2 | E1 | E2 | |
| 0 | 0.876 | 2<br>5.64×10 | 0.943 | 2<br>2.49×10 | 0.920 | 1<br>5.59×10 |
| 0.1 | 0.961 | 1.59×10 | 0.946 | 1.47×10 | 0.962 | 1.19×10 |
| 0.2 | 0.987 | 5.16×10 | 0.964 | 8.90×10 | 0.969 | 1.05×10 |
| 0.3 | 0.995 | 1.94×10 | 0.982 | 4.94×10 | 0.974 | 8.02×10 |
| 0.4 | 0.999 | 6.76×10 | 0.987 | 3.47×10 | 0.989 | 3.45×10 |
| 0.5 | 1.000 | 3.24×10 | 0.988 | 2.98×10 | 0.995 | 7.55×10 |
| 0.6 | 1.000 | 2.65×10 | 0.989 | 2.90×10 | 0.999 | 6.03×10 |
| 0.7 | 1.000 | 1.24×10 | 0.989 | 2.90×10 | 1.000 | 4.78×10 |
| 0.8 | 1.000 | 5.34×10 | 0.989 | 2.90×10 | 0.999 | 4.24×10 | | | 0.9 | 1.000 | 2.49×10 | 0.989 | 2.73×10 | 1.000 | 3.30×10 |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | 1.000 | 2.10×10 | 1.000 | 3.28×10 | 1.000 | 2.10×10 | | 1 |
| q | Example1 | Example2 | Example3 | | | |
| --- | --- | --- | --- | --- | --- | --- |
| E1 | E2 | E1 | E2 | E1 | E2 | |
| 0 | 0.876 | 2<br>5.64×10 | 0.943 | 2<br>2.49×10 | 0.920 | 1<br>5.59×10 |
| 0.1 | 0.961 | 1.59×10 | 0.946 | 1.47×10 | 0.962 | 1.19×10 |
| 0.2 | 0.987 | 5.16×10 | 0.964 | 8.90×10 | 0.969 | 1.05×10 |
| 0.3 | 0.995 | 1.94×10 | 0.982 | 4.94×10 | 0.974 | 8.02×10 |
| 0.4 | 0.999 | 6.76×10 | 0.987 | 3.47×10 | 0.989 | 3.45×10 |
| 0.5 | 1.000 | 3.24×10 | 0.988 | 2.98×10 | 0.995 | 7.55×10 |
| 0.6 | 1.000 | 2.65×10 | 0.989 | 2.90×10 | 0.999 | 6.03×10 |
| 0.7 | 1.000 | 1.24×10 | 0.989 | 2.90×10 | 1.000 | 4.78×10 |
| 0.8 | 1.000 | 5.34×10 | 0.989 | 2.90×10 | 0.999 | 4.24×10 | | | c1 | c2 | c3 | c4 | c5 | c6 | c7 | c8 | c9 | c10 | c11 | c12 | c13 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0.8833 | 0.8860 | 0.8461 | 0.8531 | 0.8383 | 0.8258 | 0.8608 | 0.8586 | 0.8229 | 0.8197 | 0.8829 | 0.8461 | 0.8852 |
| 0.8246 | 0.8390 | 0.8837 | 0.8920 | 0.8313 | 0.8270 | 0.8208 | 0.8749 | 0.8624 | 0.8678 | 0.8957 | 0.8115 | 0.8815 |
| 0.8644 | 0.8619 | 0.8502 | 0.8882 | 0.9262 | 0.9472 | 0.9378 | 0.8953 | 0.8998 | 0.9252 | 0.8556 | 0.9341 | 0.9336 |
| 0.8900 | 0.8707 | 0.8833 | 0.8939 | 0.9321 | 0.9587 | 0.8936 | 0.9594 | 0.9283 | 0.9264 | 0.9241 | 0.8704 | 0.9223 |
| 0.9792 | 0.9378 | 0.9278 | 0.9584 | 0.9625 | 0.9241 | 0.9771 | 0.9860 | 0.9025 | 0.9010 | 0.9819 | 0.9327 | 0.9376 |
| 0.9950 | 0.9445 | 0.9528 | 0.9643 | 0.9756 | 0.9500 | 0.9645 | 0.9433 | 0.9398 | 0.9351 | 0.9503 | 0.9520 | 0.9558 | | 0 |
| q | Example1 | Example2 | Example3 | | | |
| --- | --- | --- | --- | --- | --- | --- |
| E1 | E2 | E1 | E2 | E1 | E2 | |
| 0 | 0.876 | 2<br>5.64×10 | 0.943 | 2<br>2.49×10 | 0.920 | 1<br>5.59×10 |
| 0.1 | 0.961 | 1.59×10 | 0.946 | 1.47×10 | 0.962 | 1.19×10 |
| 0.2 | 0.987 | 5.16×10 | 0.964 | 8.90×10 | 0.969 | 1.05×10 |
| 0.3 | 0.995 | 1.94×10 | 0.982 | 4.94×10 | 0.974 | 8.02×10 |
| 0.4 | 0.999 | 6.76×10 | 0.987 | 3.47×10 | 0.989 | 3.45×10 |
| 0.5 | 1.000 | 3.24×10 | 0.988 | 2.98×10 | 0.995 | 7.55×10 | | | 0.6 | 1.000 | 2.65×10 | 0.989 | 2.90×10 | 0.999 | 6.03×10 |
| --- | --- | --- | --- | --- | --- | --- |
| 0.7 | 1.000 | 1.24×10 | 0.989 | 2.90×10 | 1.000 | 4.78×10 |
| 0.8 | 1.000 | 5.34×10 | 0.989 | 2.90×10 | 0.999 | 4.24×10 |
| 0.9 | 1.000 | 2.49×10 | 0.989 | 2.73×10 | 1.000 | 3.30×10 |
| 1 | 1.000 | 2.10×10 | 1.000 | 3.28×10 | 1.000 | 2.10×10 | | 1 |
| q | Example1 | Example2 | Example3 | | | |
| --- | --- | --- | --- | --- | --- | --- |
| E1 | E2 | E1 | E2 | E1 | E2 | |
| 0 | 0.876 | 2<br>5.64×10 | 0.943 | 2<br>2.49×10 | 0.920 | 1<br>5.59×10 |
| 0.1 | 0.961 | 1.59×10 | 0.946 | 1.47×10 | 0.962 | 1.19×10 |
| 0.2 | 0.987 | 5.16×10 | 0.964 | 8.90×10 | 0.969 | 1.05×10 |
| 0.3 | 0.995 | 1.94×10 | 0.982 | 4.94×10 | 0.974 | 8.02×10 |
| 0.4 | 0.999 | 6.76×10 | 0.987 | 3.47×10 | 0.989 | 3.45×10 |
| 0.5 | 1.000 | 3.24×10 | 0.988 | 2.98×10 | 0.995 | 7.55×10 | | | 0.9792 | 0.9378 | 0.9278 | 0.9584 | 0.9625 | 0.9241 | 0.9771 | 0.9860 | 0.9025 | 0.9010 | 0.9819 | 0.9327 | 0.9376 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 0.9950 | 0.9445 | 0.9528 | 0.9643 | 0.9756 | 0.9500 | 0.9645 | 0.9433 | 0.9398 | 0.9351 | 0.9503 | 0.9520 | 0.9558 | | 0 |
| Method | Dimension | CUB200-2011 | StanfordDogs | OxfordFlowers | OxfordPets | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| top1 | top5 | top1 | top5 | top1 | top5 | top1 | top5 | | | PCA | 256<br>512 | 60.48<br>60.37 | 66.55<br>66.78 | 74.63<br>74.76 | 79.09<br>79.27 | 76.38<br>77.15 | 79.32<br>79.50 | 87.82<br>87.46 | 89.75<br>89.71 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SVD | 256<br>512 | 60.34<br>60.41 | 66.57<br>66.82 | 74.79<br>74.72 | 79.27<br>79.26 | 76.79<br>77.10 | 79.32<br>79.48 | 87.84<br>87.41 | 89.79<br>89.72 |
| SVD+whitening | 256<br>512 | 62.29<br>62.13 | 68.16<br>68.13 | 71.57<br>71.07 | 76.68<br>76.06 | 80.74<br>81.44 | 82.42<br>82.82 | 85.47<br>85.23 | 87.99<br>87.62 | | 1 |
| Method | Dimension | CUB200-2011 | StanfordDogs | OxfordFlowers | OxfordPets | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| top1 | top5 | top1 | top5 | top1 | top5 | top1 | top5 | | | rank-1 | rank-5 | rank-10 |
| --- | --- | --- |
| 21.14<br>15.47<br>19.87<br>17.01<br>21.74 | 40.34<br>34.53<br>38.89<br>33.67<br>- | 53.29<br>43.99<br>49.37<br>46.84<br>- |
| 27.44 | 43.01 | 50.82 |
| 40.00<br>40.73<br>40.22<br>42.28<br>35.8<br>53.54<br>42.97<br>34.87<br>42.4<br>37.8 | 67.40<br>-<br>68.16<br>71.46<br>67.4<br>82.59<br>75.82<br>66.68<br>68.7<br>66.9 | 80.51<br>82.34<br>80.70<br>82.94<br>83.5<br>91.49<br>87.28<br>79.30<br>79.4<br>77.4 |
| 43.29<br>54.49 | 69.40<br>84.43 | 80.41<br>92.18 | | 0 |
| Method | Dimension | CUB200-2011 | StanfordDogs | OxfordFlowers | OxfordPets | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| top1 | top5 | top1 | top5 | top1 | top5 | top1 | top5 | | | PCA | 256<br>512 | 60.48<br>60.37 | 66.55<br>66.78 | 74.63<br>74.76 | 79.09<br>79.27 | 76.38<br>77.15 | 79.32<br>79.50 | 87.82<br>87.46 | 89.75<br>89.71 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| SVD | 256<br>512 | 60.34<br>60.41 | 66.57<br>66.82 | 74.79<br>74.72 | 79.27<br>79.26 | 76.79<br>77.10 | 79.32<br>79.48 | 87.84<br>87.41 | 89.79<br>89.72 |
| SVD+whitening | 256<br>512 | 62.29<br>62.13 | 68.16<br>68.13 | 71.57<br>71.07 | 76.68<br>76.06 | 80.74<br>81.44 | 82.42<br>82.82 | 85.47<br>85.23 | 87.99<br>87.62 | | 1 |
| Method | Dimension | CUB200-2011 | StanfordDogs | OxfordFlowers | OxfordPets | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| top1 | top5 | top1 | top5 | top1 | top5 | top1 | top5 | | | 27.44 | 43.01 | 50.82 |
| --- | --- | --- |
| 40.00<br>40.73<br>40.22<br>42.28<br>35.8<br>53.54<br>42.97<br>34.87<br>42.4<br>37.8 | 67.40<br>-<br>68.16<br>71.46<br>67.4<br>82.59<br>75.82<br>66.68<br>68.7<br>66.9 | 80.51<br>82.34<br>80.70<br>82.94<br>83.5<br>91.49<br>87.28<br>79.30<br>79.4<br>77.4 |
| 43.29<br>54.49 | 69.40<br>84.43 | 80.41<br>92.18 | | 0 |
| Month | MER(LBF) | MER(APST) | MAE(LBF) | MAE(APST) |
| --- | --- | --- | --- | --- |
| April | 5.02 | 4.22 | 0.53 | 0.43 |
| May | 8.30 | 7.22 | 0.56 | 0.46 |
| June | 6.89 | 5.59 | 0.51 | 0.41 |
| July | 7.41 | 6.21 | 0.47 | 0.37 |
| Aug | 8.37 | 7.57 | 0.47 | 0.37 | | | Sep | 7.30 | 6.40 | 0.45 | 0.35 |
| --- | --- | --- | --- | --- |
| Oct | 4.62 | 3.68 | 0.47 | 0.37 |
| Nov | 7.26 | 6.28 | 0.44 | 0.34 |
| Dec | 6.88 | 5.88 | 0.43 | 0.35 |
| Jan | 7.20 | 8.26 | 0.44 | 0.36 |
| Feb | 6.26 | 4.26 | 0.44 | 0.35 |
| Mar | 7.26 | 5.26 | 0.44 | 0.38 | | 1 |
| Month | MER(LBF) | MER(APST) | MAE(LBF) | MAE(APST) |
| --- | --- | --- | --- | --- |
| April | 5.02 | 4.22 | 0.53 | 0.43 |
| May | 8.30 | 7.22 | 0.56 | 0.46 |
| June | 6.89 | 5.59 | 0.51 | 0.41 |
| July | 7.41 | 6.21 | 0.47 | 0.37 |
| Aug | 8.37 | 7.57 | 0.47 | 0.37 | | | Year | Min. | Max. | Mean | Med | Skew | Kurt | Sum |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 2010 | 0 | 173 | 13.66 | 9 | 5.37 | 33.84 | 642 |
| 2011 | 0 | 41 | 6.94 | 6 | 2.90 | 14.77 | 340 |
| 2012 | 0 | 27 | 3.16 | 2 | 2.87 | 16.72 | 386 |
| 2013 | 0 | 21 | 2.06 | 1 | 4.10 | 24.86 | 179 |
| 2014 | 0 | 6 | 0.77 | 0 | 1.89 | 6.97 | 53 |
| 2015 | 0 | 0 | 0.00 | 0 | 0.00 | 0.00 | 0 |
| All | 0 | 173 | 4.28 | 2 | 11.92 | 186.71 | 1600 | | 0 |
| Month | MER(LBF) | MER(APST) | MAE(LBF) | MAE(APST) |
| --- | --- | --- | --- | --- |
| April | 5.02 | 4.22 | 0.53 | 0.43 |
| May | 8.30 | 7.22 | 0.56 | 0.46 | | | June | 6.89 | 5.59 | 0.51 | 0.41 |
| --- | --- | --- | --- | --- |
| July | 7.41 | 6.21 | 0.47 | 0.37 |
| Aug | 8.37 | 7.57 | 0.47 | 0.37 |
| Sep | 7.30 | 6.40 | 0.45 | 0.35 |
| Oct | 4.62 | 3.68 | 0.47 | 0.37 |
| Nov | 7.26 | 6.28 | 0.44 | 0.34 |
| Dec | 6.88 | 5.88 | 0.43 | 0.35 |
| Jan | 7.20 | 8.26 | 0.44 | 0.36 |
| Feb | 6.26 | 4.26 | 0.44 | 0.35 |
| Mar | 7.26 | 5.26 | 0.44 | 0.38 | | 1 |
| Month | MER(LBF) | MER(APST) | MAE(LBF) | MAE(APST) |
| --- | --- | --- | --- | --- |
| April | 5.02 | 4.22 | 0.53 | 0.43 |
| May | 8.30 | 7.22 | 0.56 | 0.46 | | | 2015 | 0 | 0 | 0.00 | 0 | 0.00 | 0.00 | 0 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| All | 0 | 173 | 4.28 | 2 | 11.92 | 186.71 | 1600 | | 0 |
| Method | Embeddings | senC | semC | µ |
| --- | --- | --- | --- | --- |
| 2-stagenoun<br>2-stagenoun<br>2-stagenoun | wiki(w=10)<br>wikirw(w=10)<br>flickr(w=10) | 0.511<br>0.529<br>0.538 | 0.588<br>0.604<br>0.528 | 0.549<br>0.566<br>0.533 | | | 2-stagenoun<br>2-stagenoun<br>2-stagenoun<br>2-stagenoun | wiki(w=5)<br>wikirw(w=5)<br>flickr(w=5)<br>gnews(w=5) | 0.534<br>0.510<br>0.526<br>0.309 | 0.586<br>0.614<br>0.513<br>0.569 | 0.560<br>0.562<br>0.519<br>0.439 |
| --- | --- | --- | --- | --- |
| 2-stageadj<br>2-stageadj<br>2-stageadj | wiki(w=10)<br>wikirw(w=10)<br>flickr(w=10) | 0.483<br>0.476<br>0.459 | 0.567<br>0.536<br>0.536 | 0.524<br>0.506<br>0.497 |
| 2-stageadj<br>2-stageadj<br>2-stageadj<br>2-stageadj | wiki(w=5)<br>wikirw(w=5)<br>flickr(w=5)<br>gnews(w=5) | 0.581<br>0.472<br>0.455<br>0.178 | 0.930<br>0.560<br>0.519<br>0.522 | 0.755<br>0.516<br>0.487<br>0.350 |
| 1-stage<br>1-stage<br>1-stage | wiki-anp(w=10)<br>wikirw-anp(w=10)<br>flickr-anp(w=10) | 0.240<br>0.257<br>0.262 | 0.576<br>0.508<br>0.489 | 0.408<br>0.382<br>0.375 |
| 1-stage<br>1-stage<br>1-stage | wiki-anp(w=5)<br>wikirw-anp(w=5)<br>flickr-anp(w=5) | 0.250<br>0.281<br>0.280 | 0.583<br>0.522<br>0.502 | 0.416<br>0.402<br>0.391 | | 1 |
| Method | Embeddings | senC | semC | µ |
| --- | --- | --- | --- | --- |
| 2-stagenoun<br>2-stagenoun<br>2-stagenoun | wiki(w=10)<br>wikirw(w=10)<br>flickr(w=10) | 0.511<br>0.529<br>0.538 | 0.588<br>0.604<br>0.528 | 0.549<br>0.566<br>0.533 | | | Instance | Target | NuMVC<br>IterationsTime(s) | ULSA<br>IterationsTime(s) | | |
| --- | --- | --- | --- | --- | --- |
| frb40-19-1<br>frb40-19-2<br>frb40-19-3<br>frb40-19-4<br>frb40-19-5 | 40<br>40<br>40<br>40<br>40 | 205831<br>3668573<br>873459<br>2602852<br>7830157 | 0.16<br>2.74<br>0.65<br>1.94<br>5.84 | 25921<br>473473<br>254746<br>1210809<br>3334878 | 0.01<br>0.07<br>0.04<br>0.17<br>0.45 |
| frb45-21-1<br>frb45-21-2<br>frb45-21-3<br>frb45-21-4<br>frb45-21-5 | 45<br>45<br>45<br>45<br>45 | 1993837<br>4377381<br>9277665<br>2718138<br>7712590 | 1.77<br>3.86<br>8.16<br>2.40<br>6.81 | 661451<br>1817130<br>3587173<br>454525<br>6581368 | 0.10<br>0.26<br>0.50<br>0.07<br>0.93 |
| frb50-23-1<br>frb50-23-2<br>frb50-23-3<br>frb50-23-4<br>frb50-23-5 | 50<br>50<br>50<br>50<br>50 | 21863585<br>127828690<br>348131684<br>5572256<br>16190769 | 22.67<br>133.13<br>362.37<br>5.81<br>16.79 | 5773150<br>24751652<br>209047771<br>683894<br>568476 | 0.83<br>3.57<br>30.06<br>0.11<br>0.09 |
| frb53-24-1<br>frb53-24-2<br>frb53-24-3<br>frb53-24-4<br>frb53-24-5 | 53<br>53<br>53<br>53<br>53 | 744855652<br>120712887<br>25652046<br>152974941<br>24413503 | 840.84<br>136.34<br>28.98<br>173.00<br>27.59 | 146679577<br>103704282<br>3016649<br>24812439<br>4122454 | 21.31<br>14.93<br>0.45<br>3.63<br>0.62 |
| frb56-25-1<br>frb56-25-2<br>frb56-25-3<br>frb56-25-4<br>frb56-25-5 | 56<br>56<br>56<br>56<br>56 | 319912278<br>390181420<br>63685811<br>23537869<br>13686349 | 387.75<br>473.64<br>77.27<br>28.59<br>16.56 | 198415701<br>290399706<br>10637855<br>15215815<br>1611838 | 29.33<br>42.77<br>1.56<br>2.27<br>0.25 |
| frb59-26-1<br>frb59-26-2<br>frb59-26-3<br>frb59-26-4<br>frb59-26-5 | 59<br>59<br>59<br>59<br>59 | 827709031<br>2309186751<br>389945144<br>535848770<br>30809115 | 1079.55<br>3009.04<br>508.30<br>699.94<br>40.12 | 187448484<br>236516360<br>62055067<br>215800597<br>2429727 | 27.76<br>35.06<br>9.21<br>32.31<br>0.38 |
| frb100-40 | 97 | 357808999 | 1022.87 | 17971765 | 3.20 | | 0 |
| Method | Embeddings | senC | semC | µ |
| --- | --- | --- | --- | --- |
| 2-stagenoun<br>2-stagenoun<br>2-stagenoun | wiki(w=10)<br>wikirw(w=10)<br>flickr(w=10) | 0.511<br>0.529<br>0.538 | 0.588<br>0.604<br>0.528 | 0.549<br>0.566<br>0.533 |
| 2-stagenoun<br>2-stagenoun<br>2-stagenoun<br>2-stagenoun | wiki(w=5)<br>wikirw(w=5)<br>flickr(w=5)<br>gnews(w=5) | 0.534<br>0.510<br>0.526<br>0.309 | 0.586<br>0.614<br>0.513<br>0.569 | 0.560<br>0.562<br>0.519<br>0.439 | | | 2-stageadj<br>2-stageadj<br>2-stageadj | wiki(w=10)<br>wikirw(w=10)<br>flickr(w=10) | 0.483<br>0.476<br>0.459 | 0.567<br>0.536<br>0.536 | 0.524<br>0.506<br>0.497 |
| --- | --- | --- | --- | --- |
| 2-stageadj<br>2-stageadj<br>2-stageadj<br>2-stageadj | wiki(w=5)<br>wikirw(w=5)<br>flickr(w=5)<br>gnews(w=5) | 0.581<br>0.472<br>0.455<br>0.178 | 0.930<br>0.560<br>0.519<br>0.522 | 0.755<br>0.516<br>0.487<br>0.350 |
| 1-stage<br>1-stage<br>1-stage | wiki-anp(w=10)<br>wikirw-anp(w=10)<br>flickr-anp(w=10) | 0.240<br>0.257<br>0.262 | 0.576<br>0.508<br>0.489 | 0.408<br>0.382<br>0.375 |
| 1-stage<br>1-stage<br>1-stage | wiki-anp(w=5)<br>wikirw-anp(w=5)<br>flickr-anp(w=5) | 0.250<br>0.281<br>0.280 | 0.583<br>0.522<br>0.502 | 0.416<br>0.402<br>0.391 | | 1 |
| Method | Embeddings | senC | semC | µ |
| --- | --- | --- | --- | --- |
| 2-stagenoun<br>2-stagenoun<br>2-stagenoun | wiki(w=10)<br>wikirw(w=10)<br>flickr(w=10) | 0.511<br>0.529<br>0.538 | 0.588<br>0.604<br>0.528 | 0.549<br>0.566<br>0.533 |
| 2-stagenoun<br>2-stagenoun<br>2-stagenoun<br>2-stagenoun | wiki(w=5)<br>wikirw(w=5)<br>flickr(w=5)<br>gnews(w=5) | 0.534<br>0.510<br>0.526<br>0.309 | 0.586<br>0.614<br>0.513<br>0.569 | 0.560<br>0.562<br>0.519<br>0.439 | | | frb53-24-1<br>frb53-24-2<br>frb53-24-3<br>frb53-24-4<br>frb53-24-5 | 53<br>53<br>53<br>53<br>53 | 744855652<br>120712887<br>25652046<br>152974941<br>24413503 | 840.84<br>136.34<br>28.98<br>173.00<br>27.59 | 146679577<br>103704282<br>3016649<br>24812439<br>4122454 | 21.31<br>14.93<br>0.45<br>3.63<br>0.62 |
| --- | --- | --- | --- | --- | --- |
| frb56-25-1<br>frb56-25-2<br>frb56-25-3<br>frb56-25-4<br>frb56-25-5 | 56<br>56<br>56<br>56<br>56 | 319912278<br>390181420<br>63685811<br>23537869<br>13686349 | 387.75<br>473.64<br>77.27<br>28.59<br>16.56 | 198415701<br>290399706<br>10637855<br>15215815<br>1611838 | 29.33<br>42.77<br>1.56<br>2.27<br>0.25 |
| frb59-26-1<br>frb59-26-2<br>frb59-26-3<br>frb59-26-4<br>frb59-26-5 | 59<br>59<br>59<br>59<br>59 | 827709031<br>2309186751<br>389945144<br>535848770<br>30809115 | 1079.55<br>3009.04<br>508.30<br>699.94<br>40.12 | 187448484<br>236516360<br>62055067<br>215800597<br>2429727 | 27.76<br>35.06<br>9.21<br>32.31<br>0.38 |
| frb100-40 | 97 | 357808999 | 1022.87 | 17971765 | 3.20 | | 0 |
| method | Moffett | Camargue | Garons |
| --- | --- | --- | --- |
| SFIM | 1.26 | 3.47 | 2.74 |
| MTF-GLP | 1.86 | 4.26 | 4.00 |
| MTF-GLP-HPM | 1.71 | 4.25 | 2.98 |
| GS | 4.77 | 8.29 | 5.56 |
| GSA | 5.52 | 8.73 | 5.99 |
| PCA | 3.46 | 8.92 | 6.09 | | | GFPCA | 2.58 | 8.51 | 4.36 |
| --- | --- | --- | --- |
| CNMF | 10.98 | 47.54 | 23.98 |
| BayesianNaive | 1.31 | 7.35 | 3.07 |
| BayesianSparse | 133.61 | 485.13 | 259.44 |
| HySure | 140.05 | 296.27 | 177.60 | | 1 |
| method | Moffett | Camargue | Garons |
| --- | --- | --- | --- |
| SFIM | 1.26 | 3.47 | 2.74 |
| MTF-GLP | 1.86 | 4.26 | 4.00 |
| MTF-GLP-HPM | 1.71 | 4.25 | 2.98 |
| GS | 4.77 | 8.29 | 5.56 |
| GSA | 5.52 | 8.73 | 5.99 |
| PCA | 3.46 | 8.92 | 6.09 | | | method | CC | SAM | RMSE | ERGAS |
| --- | --- | --- | --- | --- |
| SFIM | 0.91886 | 4.2895 | 637.1451 | 3.4159 |
| MTF-GLP | 0.92397 | 4.3378 | 622.4711 | 3.2666 |
| MTF-GLP-HPM | 0.92599 | 4.2821 | 611.9161 | 3.2497 |
| GS | 0.91262 | 4.4982 | 665.0173 | 3.5490 |
| GSA | 0.92826 | 4.1950 | 587.1322 | 3.1940 |
| PCA | 0.90350 | 5.1637 | 710.3275 | 3.8680 |
| GFPCA | 0.89042 | 4.8472 | 745.6006 | 4.0001 |
| CNMF | 0.9300 | 4.4187 | 591.3190 | 3.1762 |
| BayesianNaive | 0.95195 | 3.6428 | 489.5634 | 2.6286 |
| BayesianSparse | 0.95882 | 3.3345 | 448.1721 | 2.4712 |
| HySure | 0.9465 | 3.8767 | 511.8525 | 2.8181 | | 0 |
| method | Moffett | Camargue | Garons |
| --- | --- | --- | --- |
| SFIM | 1.26 | 3.47 | 2.74 |
| MTF-GLP | 1.86 | 4.26 | 4.00 |
| MTF-GLP-HPM | 1.71 | 4.25 | 2.98 |
| GS | 4.77 | 8.29 | 5.56 | | | GSA | 5.52 | 8.73 | 5.99 |
| --- | --- | --- | --- |
| PCA | 3.46 | 8.92 | 6.09 |
| GFPCA | 2.58 | 8.51 | 4.36 |
| CNMF | 10.98 | 47.54 | 23.98 |
| BayesianNaive | 1.31 | 7.35 | 3.07 |
| BayesianSparse | 133.61 | 485.13 | 259.44 |
| HySure | 140.05 | 296.27 | 177.60 | | 1 |
| method | Moffett | Camargue | Garons |
| --- | --- | --- | --- |
| SFIM | 1.26 | 3.47 | 2.74 |
| MTF-GLP | 1.86 | 4.26 | 4.00 |
| MTF-GLP-HPM | 1.71 | 4.25 | 2.98 |
| GS | 4.77 | 8.29 | 5.56 | | | BayesianNaive | 0.95195 | 3.6428 | 489.5634 | 2.6286 |
| --- | --- | --- | --- | --- |
| BayesianSparse | 0.95882 | 3.3345 | 448.1721 | 2.4712 |
| HySure | 0.9465 | 3.8767 | 511.8525 | 2.8181 | | 0 |
| Mediumsizedinstances | | |
| --- | --- | --- |
| graph | n | m |
| rgg17<br>rgg18<br>Delaunay17<br>Delaunay18 | 2<br>18<br>2<br>17<br>2<br>18<br>2 | 1457506<br>3094566<br>786352<br>1572792 | | | bcsstk29<br>4elt<br>fesphere<br>cti<br>memplus<br>cs4<br>pwt<br>bcsstk32<br>body<br>t60k<br>wing<br>finan512<br>rotor | 13992<br>15606<br>16386<br>16840<br>17758<br>33499<br>36519<br>44609<br>45087<br>60005<br>62032<br>74752<br>99617 | 605496<br>91756<br>98304<br>96464<br>108384<br>87716<br>289588<br>1970092<br>327468<br>178880<br>243088<br>522240<br>1324862 |
| --- | --- | --- |
| bel<br>nld | 463514<br>893041 | 1183764<br>2279080 |
| afshell9 | 504855 | 17084020 |
| Largeinstances | | |
| rgg20<br>Delaunay20 | 2<br>20<br>2 | 13783240<br>12582744 |
| fetooth<br>598a<br>ocean<br>144<br>wave<br>m14b<br>auto | 78136<br>110971<br>143437<br>144649<br>156317<br>214765<br>448695 | 905182<br>1483868<br>819186<br>2148786<br>2118662<br>3358036<br>6629222 |
| deu<br>eur | 4378446<br>18029721 | 10967174<br>44435372 |
| afshell10 | 1508065 | 51164260 | | 1 |
| Mediumsizedinstances | | |
| --- | --- | --- |
| graph | n | m |
| rgg17<br>rgg18<br>Delaunay17<br>Delaunay18 | 2<br>18<br>2<br>17<br>2<br>18<br>2 | 1457506<br>3094566<br>786352<br>1572792 | | | | | ARCORIENTED | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | |
| s11-f9 | t<br>c<br>r<br>n | 18,8<br>25,03M<br>1,1M<br>1202 | 12,8<br>19,3M<br>910060<br>1153 | 14,6<br>13,2M<br>529228<br>1155 | 14,8<br>20,8M<br>1,04M<br>1145 | 19<br>21M<br>1,01M<br>1148 | 14,2<br>16,8M<br>737803<br>1159 |
| s11-f8 | t<br>c<br>r<br>n | 37,5<br>46,5M<br>1,95M<br>1982 | 20,3<br>29,3M<br>1,3M<br>1830 | 22,5<br>19,1M<br>748050<br>1843 | 21,9<br>30,1M<br>1,52M<br>1876 | 28,5<br>32,9M<br>1,43M<br>1832 | 23,5<br>27,5M<br>1,11M<br>1928 |
| s11-f7 | t<br>c<br>r<br>n | 257,5<br>268,4M<br>13,3M<br>17643 | 146,5<br>159,4M<br>10,2M<br>14734 | 170<br>128,5M<br>6,1M<br>15938 | 265,2<br>281,4M<br>17,7M<br>20617 | 205,8<br>205,1M<br>12,1M<br>15318 | 326,2<br>300M<br>15M<br>29845 |
| s11-f6 | t<br>c<br>r<br>n | 568,5<br>482,3M<br>27,5M<br>46671 | 465,2<br>468,2M<br>29,7M<br>50021 | 309,4<br>230,8M<br>10,4M<br>29057 | 540,4<br>517,2M<br>34,9M<br>49201 | 834,9<br>745,4M<br>49,5M<br>68217 | 396,4<br>362,7M<br>16,6M<br>35860 |
| s11-f5 | t<br>c<br>r<br>n | 2821<br>2,492G<br>137,8M<br>212012 | 2307<br>2,139G<br>157M<br>217407 | 3064<br>2,097G<br>116,5M<br>287017 | 3234<br>2,928G<br>215,7M<br>258261 | 2898<br>2,596G<br>172,2M<br>185991 | 2291<br>1,965G<br>103,3M<br>187363 |
| s11-f4 | t<br>c<br>r<br>n | 11216<br>9,938G<br>533,4M<br>753592 | 7774<br>7,054G<br>523,1M<br>709196 | 8256<br>5,298G<br>311,7M<br>762477 | 10386<br>9,020G<br>681,2M<br>832892 | 12520<br>10,711G<br>738,1M<br>850446 | 10473<br>8,598G<br>464,7M<br>786924 | | 0 |
| Mediumsizedinstances | | |
| --- | --- | --- |
| graph | n | m |
| rgg17<br>rgg18<br>Delaunay17<br>Delaunay18 | 2<br>18<br>2<br>17<br>2<br>18<br>2 | 1457506<br>3094566<br>786352<br>1572792 |
| bcsstk29<br>4elt<br>fesphere<br>cti<br>memplus<br>cs4<br>pwt<br>bcsstk32<br>body<br>t60k<br>wing<br>finan512<br>rotor | 13992<br>15606<br>16386<br>16840<br>17758<br>33499<br>36519<br>44609<br>45087<br>60005<br>62032<br>74752<br>99617 | 605496<br>91756<br>98304<br>96464<br>108384<br>87716<br>289588<br>1970092<br>327468<br>178880<br>243088<br>522240<br>1324862 |
| bel<br>nld | 463514<br>893041 | 1183764<br>2279080 |
| afshell9 | 504855 | 17084020 | | | Largeinstances | | |
| --- | --- | --- |
| rgg20<br>Delaunay20 | 2<br>20<br>2 | 13783240<br>12582744 |
| fetooth<br>598a<br>ocean<br>144<br>wave<br>m14b<br>auto | 78136<br>110971<br>143437<br>144649<br>156317<br>214765<br>448695 | 905182<br>1483868<br>819186<br>2148786<br>2118662<br>3358036<br>6629222 |
| deu<br>eur | 4378446<br>18029721 | 10967174<br>44435372 |
| afshell10 | 1508065 | 51164260 | | 1 |
| Mediumsizedinstances | | |
| --- | --- | --- |
| graph | n | m |
| rgg17<br>rgg18<br>Delaunay17<br>Delaunay18 | 2<br>18<br>2<br>17<br>2<br>18<br>2 | 1457506<br>3094566<br>786352<br>1572792 |
| bcsstk29<br>4elt<br>fesphere<br>cti<br>memplus<br>cs4<br>pwt<br>bcsstk32<br>body<br>t60k<br>wing<br>finan512<br>rotor | 13992<br>15606<br>16386<br>16840<br>17758<br>33499<br>36519<br>44609<br>45087<br>60005<br>62032<br>74752<br>99617 | 605496<br>91756<br>98304<br>96464<br>108384<br>87716<br>289588<br>1970092<br>327468<br>178880<br>243088<br>522240<br>1324862 |
| bel<br>nld | 463514<br>893041 | 1183764<br>2279080 |
| afshell9 | 504855 | 17084020 | | | s11-f6 | t<br>c<br>r<br>n | 568,5<br>482,3M<br>27,5M<br>46671 | 465,2<br>468,2M<br>29,7M<br>50021 | 309,4<br>230,8M<br>10,4M<br>29057 | 540,4<br>517,2M<br>34,9M<br>49201 | 834,9<br>745,4M<br>49,5M<br>68217 | 396,4<br>362,7M<br>16,6M<br>35860 |
| --- | --- | --- | --- | --- | --- | --- | --- |
| s11-f5 | t<br>c<br>r<br>n | 2821<br>2,492G<br>137,8M<br>212012 | 2307<br>2,139G<br>157M<br>217407 | 3064<br>2,097G<br>116,5M<br>287017 | 3234<br>2,928G<br>215,7M<br>258261 | 2898<br>2,596G<br>172,2M<br>185991 | 2291<br>1,965G<br>103,3M<br>187363 |
| s11-f4 | t<br>c<br>r<br>n | 11216<br>9,938G<br>533,4M<br>753592 | 7774<br>7,054G<br>523,1M<br>709196 | 8256<br>5,298G<br>311,7M<br>762477 | 10386<br>9,020G<br>681,2M<br>832892 | 12520<br>10,711G<br>738,1M<br>850446 | 10473<br>8,598G<br>464,7M<br>786924 | | 0 |
| AccidentType | Documents |
| --- | --- |
| Collisions | 55 |
| Groundings | 44 |
| Machineryfailures | 21 | | | Fire | 15 |
| --- | --- |
| Total | 135 | | 1 |
| AccidentType | Documents |
| --- | --- |
| Collisions | 55 |
| Groundings | 44 |
| Machineryfailures | 21 | | | Sequence | Lanes | Incorrectdetection | Misdetection |
| --- | --- | --- | --- |
| 1 | 860 | 0 | 0 |
| 2 | 594 | 0 | 0 |
| 3 | 376 | 0 | 0 |
| 4 | 156 | 0 | 9 |
| 5 | 678 | 0 | 17 |
| 6 | 1060 | 14 | 7 |
| Total | 3724 | 14 | 33 | | 0 |
| AccidentType | Documents |
| --- | --- |
| Collisions | 55 |
| Groundings | 44 |
| Machineryfailures | 21 | | | Fire | 15 |
| --- | --- |
| Total | 135 | | 1 |
| AccidentType | Documents |
| --- | --- |
| Collisions | 55 |
| Groundings | 44 |
| Machineryfailures | 21 | | | 4 | 156 | 0 | 9 |
| --- | --- | --- | --- |
| 5 | 678 | 0 | 17 |
| 6 | 1060 | 14 | 7 |
| Total | 3724 | 14 | 33 | | 0 |
| Corpus | Sents | ENtok | ETtok |
| --- | --- | --- | --- |
| Opensubs | 10.32 | 83.57 | 67.56 |
| Europarl | 0.644 | 17.18 | 12.82 |
| Wiki | 0.135 | 2.281 | 2.089 | | | Other | 7.972 | 169.9 | 143.5 |
| --- | --- | --- | --- |
| Total | 19.07 | 272.9 | 225.9 | | 1 |
| Corpus | Sents | ENtok | ETtok |
| --- | --- | --- | --- |
| Opensubs | 10.32 | 83.57 | 67.56 |
| Europarl | 0.644 | 17.18 | 12.82 |
| Wiki | 0.135 | 2.281 | 2.089 | | | lang | uniquetokens | tokens |
| --- | --- | --- |
| en | 4.238 | 902.044 |
| de | 4.233 | 312.380 |
| fr | 1.749 | 247.492 |
| ru | 1.766 | 202.163 |
| it | 1.411 | 178.378 |
| nl | 2.021 | 105.224 |
| pt | 0.873 | 96.712 |
| sv | 1.730 | 82.376 |
| es | 0.829 | 76.587 |
| ar | 1.653 | 46.481 |
| fa | 0.925 | 32.557 | | 0 |
| Corpus | Sents | ENtok | ETtok |
| --- | --- | --- | --- |
| Opensubs | 10.32 | 83.57 | 67.56 |
| Europarl | 0.644 | 17.18 | 12.82 | | | Wiki | 0.135 | 2.281 | 2.089 |
| --- | --- | --- | --- |
| Other | 7.972 | 169.9 | 143.5 |
| Total | 19.07 | 272.9 | 225.9 | | 1 |
| Corpus | Sents | ENtok | ETtok |
| --- | --- | --- | --- |
| Opensubs | 10.32 | 83.57 | 67.56 |
| Europarl | 0.644 | 17.18 | 12.82 | | | sv | 1.730 | 82.376 |
| --- | --- | --- |
| es | 0.829 | 76.587 |
| ar | 1.653 | 46.481 |
| fa | 0.925 | 32.557 | | 0 |
| No. |
| --- |
| 1 |
| 2 |
| 3 | | | 4 |
| --- |
| 5 | | 1 |
| No. |
| --- |
| 1 |
| 2 |
| 3 | | | 1 | 3 |
| --- | --- |
| 2 | 5 |
| 3 | 10 |
| 4 | 27 |
| 5 | 119 |
| 6 | 1113 |
| 7 | 29375 |
| 8 | 2730166 | | 0 |
| No. |
| --- |
| 1 | | | 2 |
| --- |
| 3 |
| 4 |
| 5 | | 1 |
| No. |
| --- |
| 1 | | | 5 | 119 |
| --- | --- |
| 6 | 1113 |
| 7 | 29375 |
| 8 | 2730166 | | 0 |
| Rank(withKISSME) | 1 | 5 | 10 | 20 | 30 |
| --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 27.5<br>28.5<br>28.3<br>30.8<br>34.8<br>35.3<br>35.1<br>35.5 | 57.0<br>57.9<br>57.5<br>62.7<br>68.7<br>69.8<br>69.5<br>70.3 | 73.7<br>74.1<br>74.3<br>77.5<br>82.3<br>83.8<br>83.5<br>84.3 | 83.9<br>84.2<br>84.7<br>88.9<br>91.8<br>92.2<br>92.2<br>92.7 | 87.7<br>88.3<br>88.7<br>91.7<br>94.9<br>94.5<br>95.1<br>95.3 |
| Rank(withkLFDA) | 1 | 5 | 10 | 20 | 30 | | | Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 31.5<br>30.3<br>32.1<br>33.8<br>35.2<br>36.4<br>36.1<br>36.4 | 64.9<br>64.4<br>69.1<br>69.3<br>69.7<br>71.4<br>71.2<br>71.7 | 79.4<br>77.3<br>83.2<br>81.5<br>83.5<br>84.5<br>84.2<br>84.2 | 89.2<br>89.4<br>91.4<br>90.3<br>91.9<br>92.2<br>92.0<br>91.7 | 92.4<br>91.7<br>94.1<br>93.2<br>94.5<br>94.8<br>94.5<br>94.1 |
| --- | --- | --- | --- | --- | --- |
| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 20 | 30 |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 40.3<br>39.5<br>40.8<br>42.6<br>43.3<br>44.8<br>44.6<br>45.0 | 74.1<br>73.7<br>74.8<br>76.5<br>77.4<br>78.5<br>78.2<br>79.2 | 85.3<br>84.4<br>86.1<br>87.4<br>88.2<br>89.8<br>89.4<br>90.3 | 90.0<br>89.8<br>90.8<br>92.4<br>92.7<br>93.4<br>93.8<br>93.5 | 95.2<br>95.7<br>96.3<br>97.3<br>97.8<br>97.2<br>97.6<br>97.4 | | 1 |
| Rank(withKISSME) | 1 | 5 | 10 | 20 | 30 |
| --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 27.5<br>28.5<br>28.3<br>30.8<br>34.8<br>35.3<br>35.1<br>35.5 | 57.0<br>57.9<br>57.5<br>62.7<br>68.7<br>69.8<br>69.5<br>70.3 | 73.7<br>74.1<br>74.3<br>77.5<br>82.3<br>83.8<br>83.5<br>84.3 | 83.9<br>84.2<br>84.7<br>88.9<br>91.8<br>92.2<br>92.2<br>92.7 | 87.7<br>88.3<br>88.7<br>91.7<br>94.9<br>94.5<br>95.1<br>95.3 |
| Rank(withkLFDA) | 1 | 5 | 10 | 20 | 30 | | | Rank(withKISSME) | 1 | 5 | 10 | 15 | 20 | 30 |
| --- | --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 33.5<br>32.3<br>33.9<br>36.7<br>38.6<br>43.3<br>43.0<br>43.8 | 70.1<br>68.9<br>69.3<br>71.7<br>73.1<br>76.2<br>75.7<br>76.8 | 80.0<br>78.9<br>78.1<br>81.7<br>83.7<br>83.9<br>83.5<br>84.2 | 83.4<br>82.6<br>83.8<br>84.3<br>85.2<br>86.1<br>86.3<br>86.9 | 88.8<br>87.6<br>88.9<br>88.4<br>90.4<br>90.7<br>90.4<br>90.7 | 92.8<br>91.2<br>91.8<br>92.4<br>92.7<br>93.4<br>92.8<br>93.2 |
| Rank(withkLFDA) | 1 | 5 | 10 | 15 | 20 | 30 |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 35.8<br>36.0<br>36.8<br>39.0<br>41.2<br>45.4<br>45.1<br>45.8 | 70.5<br>69.7<br>70.9<br>71.9<br>73.6<br>75.8<br>75.5<br>76.3 | 83.7<br>81.7<br>83.4<br>84.3<br>84.8<br>86.7<br>86.5<br>87.2 | 87.9<br>86.4<br>87.3<br>88.6<br>89.2<br>91.4<br>91.6<br>92.3 | 92.0<br>91.6<br>91.6<br>92.8<br>93.2<br>94.6<br>95.0<br>94.3 | 95.6<br>96.1<br>95.4<br>95.6<br>96.3<br>96.5<br>97.2<br>96.8 |
| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 42.3<br>41.5<br>42.7<br>44.5<br>46.2<br>49.3<br>49.1<br>49.6 | 71.3<br>71.0<br>72.6<br>74.3<br>76.4<br>77.9<br>77.5<br>78.6 | 84.5<br>84.3<br>84.8<br>85.6<br>87.2<br>88.1<br>87.7<br>88.9 | 88.5<br>88.2<br>88.8<br>89.7<br>90.8<br>92.7<br>92.3<br>93.5 | 91.8<br>92.1<br>92.4<br>93.3<br>94.2<br>94.7<br>95.0<br>95.4 | 95.2<br>95.7<br>96.3<br>96.0<br>96.7<br>97.4<br>97.2<br>97.8 | | 0 |
| Rank(withKISSME) | 1 | 5 | 10 | 20 | 30 |
| --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 27.5<br>28.5<br>28.3<br>30.8<br>34.8<br>35.3<br>35.1<br>35.5 | 57.0<br>57.9<br>57.5<br>62.7<br>68.7<br>69.8<br>69.5<br>70.3 | 73.7<br>74.1<br>74.3<br>77.5<br>82.3<br>83.8<br>83.5<br>84.3 | 83.9<br>84.2<br>84.7<br>88.9<br>91.8<br>92.2<br>92.2<br>92.7 | 87.7<br>88.3<br>88.7<br>91.7<br>94.9<br>94.5<br>95.1<br>95.3 |
| Rank(withkLFDA) | 1 | 5 | 10 | 20 | 30 | | | Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 31.5<br>30.3<br>32.1<br>33.8<br>35.2<br>36.4<br>36.1<br>36.4 | 64.9<br>64.4<br>69.1<br>69.3<br>69.7<br>71.4<br>71.2<br>71.7 | 79.4<br>77.3<br>83.2<br>81.5<br>83.5<br>84.5<br>84.2<br>84.2 | 89.2<br>89.4<br>91.4<br>90.3<br>91.9<br>92.2<br>92.0<br>91.7 | 92.4<br>91.7<br>94.1<br>93.2<br>94.5<br>94.8<br>94.5<br>94.1 |
| --- | --- | --- | --- | --- | --- |
| 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 20 | 30 |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 40.3<br>39.5<br>40.8<br>42.6<br>43.3<br>44.8<br>44.6<br>45.0 | 74.1<br>73.7<br>74.8<br>76.5<br>77.4<br>78.5<br>78.2<br>79.2 | 85.3<br>84.4<br>86.1<br>87.4<br>88.2<br>89.8<br>89.4<br>90.3 | 90.0<br>89.8<br>90.8<br>92.4<br>92.7<br>93.4<br>93.8<br>93.5 | 95.2<br>95.7<br>96.3<br>97.3<br>97.8<br>97.2<br>97.6<br>97.4 | | 1 |
| Rank(withKISSME) | 1 | 5 | 10 | 20 | 30 |
| --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 27.5<br>28.5<br>28.3<br>30.8<br>34.8<br>35.3<br>35.1<br>35.5 | 57.0<br>57.9<br>57.5<br>62.7<br>68.7<br>69.8<br>69.5<br>70.3 | 73.7<br>74.1<br>74.3<br>77.5<br>82.3<br>83.8<br>83.5<br>84.3 | 83.9<br>84.2<br>84.7<br>88.9<br>91.8<br>92.2<br>92.2<br>92.7 | 87.7<br>88.3<br>88.7<br>91.7<br>94.9<br>94.5<br>95.1<br>95.3 |
| Rank(withkLFDA) | 1 | 5 | 10 | 20 | 30 | | | 2Rank(withKMFA-R)χ | 1 | 5 | 10 | 15 | 20 | 30 |
| --- | --- | --- | --- | --- | --- | --- |
| Non-structure<br>Simple-average<br>AC+global<br>Non-global<br>Proposed(single)<br>Proposed(multi-manu)<br>Proposed(multi-auto)<br>Proposed(multi-GT) | 42.3<br>41.5<br>42.7<br>44.5<br>46.2<br>49.3<br>49.1<br>49.6 | 71.3<br>71.0<br>72.6<br>74.3<br>76.4<br>77.9<br>77.5<br>78.6 | 84.5<br>84.3<br>84.8<br>85.6<br>87.2<br>88.1<br>87.7<br>88.9 | 88.5<br>88.2<br>88.8<br>89.7<br>90.8<br>92.7<br>92.3<br>93.5 | 91.8<br>92.1<br>92.4<br>93.3<br>94.2<br>94.7<br>95.0<br>95.4 | 95.2<br>95.7<br>96.3<br>96.0<br>96.7<br>97.4<br>97.2<br>97.8 | | 0 |
| FilterShape |
| --- |
| 3×3×3×32 |
| 3×3×32dw |
| 1×1×32×64 |
| 3×3×64dw |
| 1×1×64×128 |
| 3×3×128dw | | | 1×1×128×128 |
| --- |
| 3×3×128dw |
| 1×1×128×256 |
| 3×3×256dw |
| 1×1×256×256 |
| 3×3×256dw |
| 1×1×256×512 |
| 3×3×512dw<br>1×1×512×512 |
| 3×3×512dw |
| 1×1×512×1024 |
| 3×3×1024dw |
| 1×1×1024×1024 |
| Pool7×7 |
| 1024×64 |
| Inplace |
| 1024×162 |
| Classifier | | 1 |
| FilterShape |
| --- |
| 3×3×3×32 |
| 3×3×32dw |
| 1×1×32×64 |
| 3×3×64dw |
| 1×1×64×128 |
| 3×3×128dw | | | FilterShape |
| --- |
| 3×3×51 |
| 3×3×46 |
| 3×3×55 |
| 3×3×85 |
| 3×3×16 |
| 3×3×84 |
| 3×3×24 |
| 3×3×126 |
| 3×3×24 |
| 3×3×126 |
| 3×3×24 |
| 3×3×126 |
| 3×3×24 |
| 3×3×126 |
| 3×3×16 |
| 3×3×84 | | 0 |
| FilterShape |
| --- |
| 3×3×3×32 |
| 3×3×32dw |
| 1×1×32×64 |
| 3×3×64dw |
| 1×1×64×128 |
| 3×3×128dw |
| 1×1×128×128 |
| 3×3×128dw |
| 1×1×128×256 |
| 3×3×256dw | | | 1×1×256×256 |
| --- |
| 3×3×256dw |
| 1×1×256×512 |
| 3×3×512dw<br>1×1×512×512 |
| 3×3×512dw |
| 1×1×512×1024 |
| 3×3×1024dw |
| 1×1×1024×1024 |
| Pool7×7 |
| 1024×64 |
| Inplace |
| 1024×162 |
| Classifier | | 1 |
| FilterShape |
| --- |
| 3×3×3×32 |
| 3×3×32dw |
| 1×1×32×64 |
| 3×3×64dw |
| 1×1×64×128 |
| 3×3×128dw |
| 1×1×128×128 |
| 3×3×128dw |
| 1×1×128×256 |
| 3×3×256dw | | | 3×3×24 |
| --- |
| 3×3×126 |
| 3×3×24 |
| 3×3×126 |
| 3×3×16 |
| 3×3×84 | | 0 |
| Method | LocationCardinalityOSPA | OSPA-T |
| --- | --- | --- |
| B-MM-CPHD | 2.710.683.39 | 5.39 |
| MM-λ-p-CPHDD | 2.780.823.60 | 5.97 |
| MM-CPHD | 2.840.793.63 | 5.61 |
| MM-PHD | 2.901.083.98 | 6.01 |
| IMM-JPDA | 1.371.673.04 | 4.21 | | | MHT | 0.813.073.88 | 5.48 |
| --- | --- | --- |
| P-Tracker | 0.852.553.40 | 5.20 |
| U-Tracker | 0.643.364.00 | 4.93 | | 1 |
| Method | LocationCardinalityOSPA | OSPA-T |
| --- | --- | --- |
| B-MM-CPHD | 2.710.683.39 | 5.39 |
| MM-λ-p-CPHDD | 2.780.823.60 | 5.97 |
| MM-CPHD | 2.840.793.63 | 5.61 |
| MM-PHD | 2.901.083.98 | 6.01 |
| IMM-JPDA | 1.371.673.04 | 4.21 | | | Method | LocationCardinalityOSPA | OSPA-T |
| --- | --- | --- |
| B-MM-CPHD | 2.520.563.08 | 5.41 |
| MM-λ-p-CPHDD | 2.640.633.27 | 5.48 |
| MM-CPHD | 2.391.123.51 | 5.50 |
| MM-PHD | 2.711.304.01 | 6.55 |
| IMM-JPDA | 1.542.684.22 | 5.72 |
| MHT | 1.712.233.94 | 5.67 |
| P-Tracker | 1.332.704.03 | 6.50 |
| U-Tracker | 1.851.433.28 | 5.04 | | 0 |
| Method | LocationCardinalityOSPA | OSPA-T |
| --- | --- | --- |
| B-MM-CPHD | 2.710.683.39 | 5.39 | | | MM-λ-p-CPHDD | 2.780.823.60 | 5.97 |
| --- | --- | --- |
| MM-CPHD | 2.840.793.63 | 5.61 |
| MM-PHD | 2.901.083.98 | 6.01 |
| IMM-JPDA | 1.371.673.04 | 4.21 |
| MHT | 0.813.073.88 | 5.48 |
| P-Tracker | 0.852.553.40 | 5.20 |
| U-Tracker | 0.643.364.00 | 4.93 | | 1 |
| Method | LocationCardinalityOSPA | OSPA-T |
| --- | --- | --- |
| B-MM-CPHD | 2.710.683.39 | 5.39 | | | P-Tracker | 1.332.704.03 | 6.50 |
| --- | --- | --- |
| U-Tracker | 1.851.433.28 | 5.04 | | 0 |
| Domain | #Trainingsample |
| --- | --- |
| Amazon | 20 | | | DSLR | 8 |
| --- | --- |
| Virtual(-Gray) | 30 |
| ImageNet | 150-2000 | | 1 |
| Domain | #Trainingsample |
| --- | --- |
| Amazon | 20 | | | Domain | TrainingData | | |
| --- | --- | --- | --- |
| DImageNet | EVT | E∪DVTImageNet | |
| Dog | 65.80 | 67.56 | 70.22 |
| Bird | 82.00 | 86.24 | 86.41 |
| Wheeled | 68.95 | 72.20 | 74.59 |
| Structure | 66.07 | 69.90 | 72.41 | | 0 |
| Domain | #Trainingsample |
| --- | --- |
| Amazon | 20 |
| DSLR | 8 | | | Virtual(-Gray) | 30 |
| --- | --- |
| ImageNet | 150-2000 | | 1 |
| Domain | #Trainingsample |
| --- | --- |
| Amazon | 20 |
| DSLR | 8 | | | Dog | 65.80 | 67.56 | 70.22 |
| --- | --- | --- | --- |
| Bird | 82.00 | 86.24 | 86.41 |
| Wheeled | 68.95 | 72.20 | 74.59 |
| Structure | 66.07 | 69.90 | 72.41 | | 0 |
| | Mean±Std | | Mean±Std |
| --- | --- | --- | --- |
| LBP | 0.9479±0.0045 | MsTLBP | 0.9506±0.0037 |
| LTP | 0.9499±0.0048 | MsDLBP | 0.9393±0.0044 | | | LPQ | 0.9454±0.0044 | DCP-1 | 0.9499±0.0035 |
| --- | --- | --- | --- |
| POEM | 0.9500±0.0045 | DCP-2 | 0.9529±0.0034 |
| LGXP | 0.9369±0.0040 | DCP | 0.9557±0.0044 |
| MsLBP | 0.9494±0.0037 | | | | 1 |
| | Mean±Std | | Mean±Std |
| --- | --- | --- | --- |
| LBP | 0.9479±0.0045 | MsTLBP | 0.9506±0.0037 |
| LTP | 0.9499±0.0048 | MsDLBP | 0.9393±0.0044 | | | | ROCI | ROCII | ROCIII | Mean |
| --- | --- | --- | --- | --- |
| LBP | 18.62 | 19.12 | 20.07 | 19.27 |
| LTP | 20.21 | 21.39 | 22.99 | 21.53 |
| LPQ | 22.53 | 23.25 | 24.39 | 23.39 |
| POEM | 29.99 | 30.60 | 31.46 | 30.68 |
| LGXP | 32.44 | 31.81 | 31.13 | 31.79 |
| MsLBP | 19.34 | 19.80 | 20.81 | 19.98 |
| MsTLBP | 20.04 | 20.25 | 21.02 | 20.44 |
| MsDLBP | 18.34 | 18.85 | 19.60 | 18.93 |
| DCP-1 | 20.10 | 20.57 | 21.51 | 20.73 |
| DCP-2 | 18.22 | 18.74 | 19.58 | 18.85 |
| DCP | 21.78 | 22.49 | 23.59 | 22.62 | | 0 |
| | Mean±Std | | Mean±Std |
| --- | --- | --- | --- |
| LBP | 0.9479±0.0045 | MsTLBP | 0.9506±0.0037 |
| LTP | 0.9499±0.0048 | MsDLBP | 0.9393±0.0044 |
| LPQ | 0.9454±0.0044 | DCP-1 | 0.9499±0.0035 | | | POEM | 0.9500±0.0045 | DCP-2 | 0.9529±0.0034 |
| --- | --- | --- | --- |
| LGXP | 0.9369±0.0040 | DCP | 0.9557±0.0044 |
| MsLBP | 0.9494±0.0037 | | | | 1 |
| | Mean±Std | | Mean±Std |
| --- | --- | --- | --- |
| LBP | 0.9479±0.0045 | MsTLBP | 0.9506±0.0037 |
| LTP | 0.9499±0.0048 | MsDLBP | 0.9393±0.0044 |
| LPQ | 0.9454±0.0044 | DCP-1 | 0.9499±0.0035 | | | LPQ | 22.53 | 23.25 | 24.39 | 23.39 |
| --- | --- | --- | --- | --- |
| POEM | 29.99 | 30.60 | 31.46 | 30.68 |
| LGXP | 32.44 | 31.81 | 31.13 | 31.79 |
| MsLBP | 19.34 | 19.80 | 20.81 | 19.98 |
| MsTLBP | 20.04 | 20.25 | 21.02 | 20.44 |
| MsDLBP | 18.34 | 18.85 | 19.60 | 18.93 |
| DCP-1 | 20.10 | 20.57 | 21.51 | 20.73 |
| DCP-2 | 18.22 | 18.74 | 19.58 | 18.85 |
| DCP | 21.78 | 22.49 | 23.59 | 22.62 | | 0 |
| R | ∆V | (cid:48)<br>R | Output |
| --- | --- | --- | --- |
| H(“1”) | V<∆V<Vth,S1th,R1 | L(ON) | pulse |
| H(“1”) | V<∆Vth,R1 | H(“0”) | spike | | | H(“0”) | V<∆V<Vth,R2th,S2 | L(ON) | pulse |
| --- | --- | --- | --- |
| H(“0”) | ∆V<Vth,R2 | H(“1”) | spike |
| L(ON) | V<∆Vth,R1 | H(“0”) | – |
| L(ON) | ∆V<Vth,R2 | H(“1”) | – | | 1 |
| R | ∆V | (cid:48)<br>R | Output |
| --- | --- | --- | --- |
| H(“1”) | V<∆V<Vth,S1th,R1 | L(ON) | pulse |
| H(“1”) | V<∆Vth,R1 | H(“0”) | spike | | | h | H | P | N | X | |
| --- | --- | --- | --- | --- | --- |
| h | 2 | -4 | 0 | 0 | 0 |
| H | -4 | -3 | 0 | 0 | 0 |
| P | 0 | 0 | 1 | -1 | 0 |
| N | 0 | 0 | -1 | 1 | 0 |
| X | 0 | 0 | 0 | 0 | 0 | | 0 |
| R | ∆V | (cid:48)<br>R | Output |
| --- | --- | --- | --- |
| H(“1”) | V<∆V<Vth,S1th,R1 | L(ON) | pulse |
| H(“1”) | V<∆Vth,R1 | H(“0”) | spike |
| H(“0”) | V<∆V<Vth,R2th,S2 | L(ON) | pulse | | | H(“0”) | ∆V<Vth,R2 | H(“1”) | spike |
| --- | --- | --- | --- |
| L(ON) | V<∆Vth,R1 | H(“0”) | – |
| L(ON) | ∆V<Vth,R2 | H(“1”) | – | | 1 |
| R | ∆V | (cid:48)<br>R | Output |
| --- | --- | --- | --- |
| H(“1”) | V<∆V<Vth,S1th,R1 | L(ON) | pulse |
| H(“1”) | V<∆Vth,R1 | H(“0”) | spike |
| H(“0”) | V<∆V<Vth,R2th,S2 | L(ON) | pulse | | | N | 0 | 0 | -1 | 1 | 0 |
| --- | --- | --- | --- | --- | --- |
| X | 0 | 0 | 0 | 0 | 0 | | 0 |
| Network | Source | \|V\| | \|E\| | Averagedegree |
| --- | --- | --- | --- | --- |
| dolphins | Dolphinssocialnetwork | 62 | 159 | 5 | | | polbooks | Copurchasesofpoliticalbooks | 105 | 441 | 8.8 |
| --- | --- | --- | --- | --- |
| power | Powergridtopology | 4941 | 6594 | 2.7 |
| facebook | Facebookego-networks | 4039 | 88234 | 43.7 |
| enron | Enroncommunicationnetwork | 36692 | 183831 | 10 | | 1 |
| Network | Source | \|V\| | \|E\| | Averagedegree |
| --- | --- | --- | --- | --- |
| dolphins | Dolphinssocialnetwork | 62 | 159 | 5 | | | Network | Type | \|V\| | \|E\| | diameter | radius | δ4−point |
| --- | --- | --- | --- | --- | --- | --- |
| sprintlink-1239 | RocketfuelISPnetwork | 8341 | 14025 | 13 | 7 | 3 |
| p2p-gnutella25 | peer-to-peernetwork | 22663 | 54693 | 11 | 7 | 3 |
| sn-medium | socialnetwork | 26567 | 226566 | 14 | 7 | 4 |
| web-stanford | webnetwork | 255265 | 1941926 | 164 | 82 | 1.5(est.) | | 0 |
| Network | Source | \|V\| | \|E\| | Averagedegree |
| --- | --- | --- | --- | --- |
| dolphins | Dolphinssocialnetwork | 62 | 159 | 5 |
| polbooks | Copurchasesofpoliticalbooks | 105 | 441 | 8.8 |
| power | Powergridtopology | 4941 | 6594 | 2.7 | | | facebook | Facebookego-networks | 4039 | 88234 | 43.7 |
| --- | --- | --- | --- | --- |
| enron | Enroncommunicationnetwork | 36692 | 183831 | 10 | | 1 |
| Network | Source | \|V\| | \|E\| | Averagedegree |
| --- | --- | --- | --- | --- |
| dolphins | Dolphinssocialnetwork | 62 | 159 | 5 |
| polbooks | Copurchasesofpoliticalbooks | 105 | 441 | 8.8 |
| power | Powergridtopology | 4941 | 6594 | 2.7 | | | sn-medium | socialnetwork | 26567 | 226566 | 14 | 7 | 4 |
| --- | --- | --- | --- | --- | --- | --- |
| web-stanford | webnetwork | 255265 | 1941926 | 164 | 82 | 1.5(est.) | | 0 |
| line | fragments |
| --- | --- |
| 4 | {} |
| 24 | {{(f1,C1)}} | | | 11 | {{(f1,C1),(f1,C3)}} |
| --- | --- |
| 11 | {{(f1,C1),(f1,C3),(f1,P1)}} | | 1 |
| line | fragments |
| --- | --- |
| 4 | {} |
| 24 | {{(f1,C1)}} | | | line | fragments |
| --- | --- |
| 4 | {} |
| 24 | {{(f7,C3)}} |
| 24 | {{(f7,C3)},{(f8,C4)}} |
| 11<br>11 | {{(f7,C3),(f7,P2)},{(f8,C4)}}<br>{{(f7,C3),(f7,P2)},{(f8,C4),(f8,P2)}} | | 0 |
| line | fragments |
| --- | --- |
| 4 | {} | | | 24 | {{(f1,C1)}} |
| --- | --- |
| 11 | {{(f1,C1),(f1,C3)}} |
| 11 | {{(f1,C1),(f1,C3),(f1,P1)}} | | 1 |
| line | fragments |
| --- | --- |
| 4 | {} | | | 24 | {{(f7,C3)},{(f8,C4)}} |
| --- | --- |
| 11<br>11 | {{(f7,C3),(f7,P2)},{(f8,C4)}}<br>{{(f7,C3),(f7,P2)},{(f8,C4),(f8,P2)}} | | 0 |
| Ssrc | Stgt | | |
| --- | --- | --- | --- |
| OS | EP | JRC | |
| OS | 469(352) | 10 | 11 | | | EP | 327 | 0(1) | 0 |
| --- | --- | --- | --- |
| JRC | 35 | 0 | 0(0) | | 1 |
| Ssrc | Stgt | | |
| --- | --- | --- | --- |
| OS | EP | JRC | |
| OS | 469(352) | 10 | 11 | | | Ssrc | Stgt | | |
| --- | --- | --- | --- |
| OS | EP | JRC | |
| OS | 96.4/97.4 | 8.1/24.3 | 3.4/5.5 |
| EP | 4.4/14.0 | 96.4/96.1 | 5.4/8.5 |
| JRC | 1.9/2.8 | 6.9/12.8 | 96.5/96.8 | | 0 |
| Ssrc | Stgt | |
| --- | --- | --- |
| OS | EP | JRC | | | OS | 469(352) | 10 | 11 |
| --- | --- | --- | --- |
| EP | 327 | 0(1) | 0 |
| JRC | 35 | 0 | 0(0) | | 1 |
| Ssrc | Stgt | |
| --- | --- | --- |
| OS | EP | JRC | | | EP | 4.4/14.0 | 96.4/96.1 | 5.4/8.5 |
| --- | --- | --- | --- |
| JRC | 1.9/2.8 | 6.9/12.8 | 96.5/96.8 | | 0 |
| Method | yaw | pitch | average |
| --- | --- | --- | --- |
| 2-foldcrossvalidation | | | |
| KRFWS | 4.95 | 3.35 | 4.15±0.041 |
| KRF(baseline) | 5.06 | 3.59 | 4.32±0.138 |
| AKRF | 5.45 | 3.92 | 4.68±0.072 |
| 5-foldcrossvalidation | | | |
| KRFWS | 5.07 | 2.65 | 3.86±0.177 | | | KRF(baseline) | 5.13 | 2.88 | 4.01±0.171 |
| --- | --- | --- | --- |
| AKRF | 5.57 | 3.39 | 4.48±0.267 | | 1 |
| Method | yaw | pitch | average |
| --- | --- | --- | --- |
| 2-foldcrossvalidation | | | |
| KRFWS | 4.95 | 3.35 | 4.15±0.041 |
| KRF(baseline) | 5.06 | 3.59 | 4.32±0.138 |
| AKRF | 5.45 | 3.92 | 4.68±0.072 |
| 5-foldcrossvalidation | | | |
| KRFWS | 5.07 | 2.65 | 3.86±0.177 | | | Methodno. | Rank/Score | F-Measure | pseudoF-Measure | PSNR | DRD |
| --- | --- | --- | --- | --- | --- |
| 1 | 1/51.3792 | 88.55 | 92.25 | 18.28 | 5.57 |
| 2 | 3/50.2433 | 86.79 | 86.29 | 17.64 | 6.08 |
| 3 | 2/50.7329 | 87.30 | 89.50 | 17.95 | 5.87 |
| Otsu | - | 77.75 | 79.98 | 15.42 | 31.11 |
| GridbasedSauvola | - | 85.29 | 87.75 | 17.73 | 9.99 |
| ESBK | - | 84.03 | 86.43 | 17.60 | 14.79 |
| Su’smethod | - | 88.21 | 88.82 | 18.27 | 5.44 |
| PC | - | 90.19 | 91.35 | 19.89 | 5.23 |
| Howe | - | 89.58 | 91.88 | 18.53 | 4.11 | | 0 |
| Method | yaw | pitch | average |
| --- | --- | --- | --- |
| 2-foldcrossvalidation | | | |
| KRFWS | 4.95 | 3.35 | 4.15±0.041 |
| KRF(baseline) | 5.06 | 3.59 | 4.32±0.138 |
| AKRF | 5.45 | 3.92 | 4.68±0.072 |
| 5-foldcrossvalidation | | | | | | KRFWS | 5.07 | 2.65 | 3.86±0.177 |
| --- | --- | --- | --- |
| KRF(baseline) | 5.13 | 2.88 | 4.01±0.171 |
| AKRF | 5.57 | 3.39 | 4.48±0.267 | | 1 |
| Method | yaw | pitch | average |
| --- | --- | --- | --- |
| 2-foldcrossvalidation | | | |
| KRFWS | 4.95 | 3.35 | 4.15±0.041 |
| KRF(baseline) | 5.06 | 3.59 | 4.32±0.138 |
| AKRF | 5.45 | 3.92 | 4.68±0.072 |
| 5-foldcrossvalidation | | | | | | Su’smethod | - | 88.21 | 88.82 | 18.27 | 5.44 |
| --- | --- | --- | --- | --- | --- |
| PC | - | 90.19 | 91.35 | 19.89 | 5.23 |
| Howe | - | 89.58 | 91.88 | 18.53 | 4.11 | | 0 |
| method | mean() | median() | trimean() |
| --- | --- | --- | --- |
| donothing | 15.62 | 14.00 | 14.56 |
| Low-levelstatistics-basedmethods | | | |
| Gray-world(GW) | 13.01 | 10.96 | 11.53 |
| White-Patch(WP) | 12.68 | 10.50 | 11.25 |
| 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 |
| Learning-basedmethods | | | |
| Edge-basedgamut | 12.78 | 10.88 | 11.38 |
| Pixel-basedgamut | 11.79 | 8.88 | 9.97 |
| Intersection-basedgamut | 11.81 | 8.93 | 10.00 |
| NaturalImageStatistics | 9.87 | 7.65 | 8.29 |
| ColorDogWP,GW | 10.27 | 7.33 | 8.20 |
| ColorTiger(proposed) | 9.51 | 7.11 | 7.66 |
| ColorCat(CC) | 8.73 | 7.07 | 7.43 |
| Exemplar-basedlearning | 7.97 | 6.46 | 6.77 |
| SmartColorCat(SCC) | 8.18 | 6.28 | 6.73 |
| ColorDogCC | 8.81 | 5.98 | 6.97 |
| ColorDogSCC | 8.51 | 5.55 | 6.56 | | 1 |
| method | mean() | median() | trimean() |
| --- | --- | --- | --- |
| donothing | 15.62 | 14.00 | 14.56 |
| Low-levelstatistics-basedmethods | | | |
| Gray-world(GW) | 13.01 | 10.96 | 11.53 |
| White-Patch(WP) | 12.68 | 10.50 | 11.25 |
| Shades-of-Gray | 11.55 | 9.70 | 10.23 |
| GeneralGray-World | 11.55 | 9.70 | 10.23 | | | method | mean() | median() | trimean() |
| --- | --- | --- | --- |
| donothing | 8.28 | 6.70 | 7.25 |
| Low-levelstatistics-basedmethods | | | |
| Gray-world(GW) | 7.87 | 6.97 | 7.14 |
| White-Patch(WP) | 6.80 | 5.30 | 5.77 |
| 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 |
| Learning-basedmethods | | | |
| Pixel-basedgamut | 7.07 | 5.81 | 6.12 |
| Edge-basedgamut | 6.81 | 5.81 | 6.03 |
| Intersection-basedgamut | 6.93 | 5.80 | 6.05 |
| NaturalImageStatistics | 5.19 | 3.93 | 4.31 |
| Exemplar-basedlearning | 4.38 | 3.43 | 3.67 |
| ColorTiger(proposed) | 5.61 | 3.39 | 4.31 |
| ColorCat(CC) | 4.22 | 3.17 | 3.46 |
| ColorDogWP,GW | 5.27 | 3.71 | 4.16 |
| SmartColorCat(SCC) | 4.62 | 3.52 | 3.80 |
| ColorDogSCC | 4.80 | 3.08 | 3.71 |
| ColorDogCC | 4.50 | 2.86 | 3.50 | | 0 |
| method | mean() | median() | trimean() |
| --- | --- | --- | --- |
| donothing | 15.62 | 14.00 | 14.56 |
| Low-levelstatistics-basedmethods | | | |
| Gray-world(GW) | 13.01 | 10.96 | 11.53 |
| White-Patch(WP) | 12.68 | 10.50 | 11.25 |
| 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 |
| Learning-basedmethods | | | |
| Edge-basedgamut | 12.78 | 10.88 | 11.38 |
| Pixel-basedgamut | 11.79 | 8.88 | 9.97 |
| Intersection-basedgamut | 11.81 | 8.93 | 10.00 |
| NaturalImageStatistics | 9.87 | 7.65 | 8.29 |
| ColorDogWP,GW | 10.27 | 7.33 | 8.20 |
| ColorTiger(proposed) | 9.51 | 7.11 | 7.66 |
| ColorCat(CC) | 8.73 | 7.07 | 7.43 |
| Exemplar-basedlearning | 7.97 | 6.46 | 6.77 |
| SmartColorCat(SCC) | 8.18 | 6.28 | 6.73 | | | ColorDogCC | 8.81 | 5.98 | 6.97 |
| --- | --- | --- | --- |
| ColorDogSCC | 8.51 | 5.55 | 6.56 | | 1 |
| method | mean() | median() | trimean() |
| --- | --- | --- | --- |
| donothing | 15.62 | 14.00 | 14.56 |
| Low-levelstatistics-basedmethods | | | |
| Gray-world(GW) | 13.01 | 10.96 | 11.53 |
| White-Patch(WP) | 12.68 | 10.50 | 11.25 |
| 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 |
| Learning-basedmethods | | | |
| Edge-basedgamut | 12.78 | 10.88 | 11.38 |
| Pixel-basedgamut | 11.79 | 8.88 | 9.97 |
| Intersection-basedgamut | 11.81 | 8.93 | 10.00 |
| NaturalImageStatistics | 9.87 | 7.65 | 8.29 |
| ColorDogWP,GW | 10.27 | 7.33 | 8.20 |
| ColorTiger(proposed) | 9.51 | 7.11 | 7.66 |
| ColorCat(CC) | 8.73 | 7.07 | 7.43 |
| Exemplar-basedlearning | 7.97 | 6.46 | 6.77 |
| SmartColorCat(SCC) | 8.18 | 6.28 | 6.73 | | | 1st-orderGray-Edge | 5.88 | 4.65 | 5.11 |
| --- | --- | --- | --- |
| 2nd-orderGray-Edge | 6.10 | 4.85 | 5.28 |
| Learning-basedmethods | | | |
| Pixel-basedgamut | 7.07 | 5.81 | 6.12 |
| Edge-basedgamut | 6.81 | 5.81 | 6.03 |
| Intersection-basedgamut | 6.93 | 5.80 | 6.05 |
| NaturalImageStatistics | 5.19 | 3.93 | 4.31 |
| Exemplar-basedlearning | 4.38 | 3.43 | 3.67 |
| ColorTiger(proposed) | 5.61 | 3.39 | 4.31 |
| ColorCat(CC) | 4.22 | 3.17 | 3.46 |
| ColorDogWP,GW | 5.27 | 3.71 | 4.16 |
| SmartColorCat(SCC) | 4.62 | 3.52 | 3.80 |
| ColorDogSCC | 4.80 | 3.08 | 3.71 |
| ColorDogCC | 4.50 | 2.86 | 3.50 | | 0 |
| Camera1/LeftCamera | | | |
| --- | --- | --- | --- |
| | Test1 | Test2 | Test3 |
| f(px)x | 217.906±1.009 | 216.332±0.802 | 217.396±0.996 |
| f(px)y | 217.855±1.004 | 216.187±0.827 | 217.121±0.950 |
| u(px)0 | 121.501±1.096 | 123.041±1.044 | 121.813±1.055 | | | v(px)0 | 113.061±0.954 | 111.483±0.851 | 113.324±0.954 |
| --- | --- | --- | --- |
| k1 | -0.379±0.034 | -0.383±0.029 | -0.376±0.034 |
| k2 | 0.384±0.276 | 0.370±0.220 | 0.361±0.182 |
| k3 | -0.588±0.663 | -0.425±0.480 | -0.575±0.658 | | 1 |
| Camera1/LeftCamera | | | |
| --- | --- | --- | --- |
| | Test1 | Test2 | Test3 |
| f(px)x | 217.906±1.009 | 216.332±0.802 | 217.396±0.996 |
| f(px)y | 217.855±1.004 | 216.187±0.827 | 217.121±0.950 |
| u(px)0 | 121.501±1.096 | 123.041±1.044 | 121.813±1.055 | | | Camera1/LeftCamera | | | |
| --- | --- | --- | --- |
| | Dataset1 | Dataset2 | Dataset3 |
| f(px)x | 216.520±1.399 | 216.307±1.898 | 216.360±0.579 |
| f(px)y | 216.259±1.448 | 216.421±1.947 | 216.315±0.576 |
| u(px)0 | 122.241±1.106 | 121.847±1.162 | 122.414±0.758 |
| v(px)0 | 113.410±0.826 | 112.981±0.970 | 111.535±0.646 |
| k1 | -0.349±0.010 | -0.353±0.011 | -0.369±0.023 |
| k2 | 0.148±0.021 | 0.144±0.021 | 0.303±0.182 |
| k3 | 0.000±0.000 | 0.000±0.000 | -0.366±0.417 | | 0 |
| Camera1/LeftCamera | | | |
| --- | --- | --- | --- |
| | Test1 | Test2 | Test3 |
| f(px)x | 217.906±1.009 | 216.332±0.802 | 217.396±0.996 |
| f(px)y | 217.855±1.004 | 216.187±0.827 | 217.121±0.950 | | | u(px)0 | 121.501±1.096 | 123.041±1.044 | 121.813±1.055 |
| --- | --- | --- | --- |
| v(px)0 | 113.061±0.954 | 111.483±0.851 | 113.324±0.954 |
| k1 | -0.379±0.034 | -0.383±0.029 | -0.376±0.034 |
| k2 | 0.384±0.276 | 0.370±0.220 | 0.361±0.182 |
| k3 | -0.588±0.663 | -0.425±0.480 | -0.575±0.658 | | 1 |
| Camera1/LeftCamera | | | |
| --- | --- | --- | --- |
| | Test1 | Test2 | Test3 |
| f(px)x | 217.906±1.009 | 216.332±0.802 | 217.396±0.996 |
| f(px)y | 217.855±1.004 | 216.187±0.827 | 217.121±0.950 | | | f(px)y | 216.259±1.448 | 216.421±1.947 | 216.315±0.576 |
| --- | --- | --- | --- |
| u(px)0 | 122.241±1.106 | 121.847±1.162 | 122.414±0.758 |
| v(px)0 | 113.410±0.826 | 112.981±0.970 | 111.535±0.646 |
| k1 | -0.349±0.010 | -0.353±0.011 | -0.369±0.023 |
| k2 | 0.148±0.021 | 0.144±0.021 | 0.303±0.182 |
| k3 | 0.000±0.000 | 0.000±0.000 | -0.366±0.417 | | 0 |
| k | optimalr<br>fort=4 | bitsperk-mer<br>fort=4 | bitsperk-mer<br>fort=1() |
| --- | --- | --- | --- |
| 16 | 5.777 | 8.556 | 12.078 | | | 32 | 6.049 | 8.664 | 13.518 |
| --- | --- | --- | --- |
| 64 | 6.399 | 8.824 | 14.958 |
| 128 | 6.819 | 9.045 | 16.398 | | 1 |
| k | optimalr<br>fort=4 | bitsperk-mer<br>fort=4 | bitsperk-mer<br>fort=1() |
| --- | --- | --- | --- |
| 16 | 5.777 | 8.556 | 12.078 | | | nqubits | ngates | Total<br>Time(s) | Timeper<br>Gate(s) |
| --- | --- | --- | --- |
| 29 | 435 | 116.6 | 0.27 |
| 30 | 465 | 141.6 | 0.30 |
| 31 | 496 | 167.9 | 0.34 |
| 32 | 528 | 200.9 | 0.38 |
| 33 | 561 | 245.0 | 0.44 |
| 34 | 595 | 297.4 | 0.50 |
| 35 | 630 | 339.7 | 0.54 |
| 36 | 666 | 445.4 | 0.67 |
| 37 | 703 | 540.2 | 0.77 |
| 38 | 741 | 643.8 | 0.87 |
| 39 | 780 | 766.1 | 0.98 |
| 40 | 820 | 997.2 | 1.22 | | 0 |
| k | optimalr<br>fort=4 | bitsperk-mer<br>fort=4 | bitsperk-mer<br>fort=1() |
| --- | --- | --- | --- |
| 16 | 5.777 | 8.556 | 12.078 |
| 32 | 6.049 | 8.664 | 13.518 | | | 64 | 6.399 | 8.824 | 14.958 |
| --- | --- | --- | --- |
| 128 | 6.819 | 9.045 | 16.398 | | 1 |
| k | optimalr<br>fort=4 | bitsperk-mer<br>fort=4 | bitsperk-mer<br>fort=1() |
| --- | --- | --- | --- |
| 16 | 5.777 | 8.556 | 12.078 |
| 32 | 6.049 | 8.664 | 13.518 | | | 37 | 703 | 540.2 | 0.77 |
| --- | --- | --- | --- |
| 38 | 741 | 643.8 | 0.87 |
| 39 | 780 | 766.1 | 0.98 |
| 40 | 820 | 997.2 | 1.22 | | 0 |
| k | n=2 | n=3 | | |
| --- | --- | --- | --- | --- |
| Time | Model | Time | Model | |
| 1 | <1 | 11 | <1 | 13 |
| 5 | 1 | 43 | 1 | 61 | | | 10 | 2 | 83 | 2 | 121 |
| --- | --- | --- | --- | --- |
| 15 | 5 | 123 | 6 | 181 | | 1 |
| k | n=2 | n=3 | | |
| --- | --- | --- | --- | --- |
| Time | Model | Time | Model | |
| 1 | <1 | 11 | <1 | 13 |
| 5 | 1 | 43 | 1 | 61 | | | n= | k= | R.T.(ms) |
| --- | --- | --- |
| 1M | 1301 | 470 |
| 2.25M | 1383 | 1110 |
| 4M | 1323 | 2078 |
| 6.25M | 1261 | 4093 |
| 9M | 1256 | 7031 | | 0 |
| k | n=2 | n=3 | |
| --- | --- | --- | --- |
| Time | Model | Time | Model | | | 1 | <1 | 11 | <1 | 13 |
| --- | --- | --- | --- | --- |
| 5 | 1 | 43 | 1 | 61 |
| 10 | 2 | 83 | 2 | 121 |
| 15 | 5 | 123 | 6 | 181 | | 1 |
| k | n=2 | n=3 | |
| --- | --- | --- | --- |
| Time | Model | Time | Model | | | 4M | 1323 | 2078 |
| --- | --- | --- |
| 6.25M | 1261 | 4093 |
| 9M | 1256 | 7031 | | 0 |
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