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Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
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Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
n/a
Null
3
Benchmark
performance:
| MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
|---|---|---|---|---|---|---|---|---|---|---|
| 16.7348 | 11.4505 | 27.8445 | 16.3694 | 39.3494 | 17737 | 34528 | 5750 | 92 | 3892 | 73.4348 |
Detailed
performance:
| Video ID | MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 20 | 43.3948 | 43.0593 | 45.2084 | 40.8163 | 28.5714 | 2320 | 4131 | 302 | 1 | 328 | 77.2798 |
| 21 | -39.5813 | -43.5813 | 11.1911 | 0.0000 | 46.6667 | 528 | 729 | 143 | 1 | 87 | 63.0232 |
| 22 | -4.8007 | -11.3871 | 13.5813 | 25.2427 | 6.7961 | 3787 | 4219 | 2167 | 16 | 1152 | 67.6282 |
| 23 | 69.3131 | 64.8458 | 45.8816 | 57.1429 | 7.1429 | 317 | 920 | 139 | 5 | 101 | 77.3823 |
| 24 | 4.9289 | -8.4839 | 17.2906 | 5.1672 | 39.8176 | 1785 | 9735 | 1249 | 45 | 820 | 68.0281 |
| 25 | -71.4262 | -75.3755 | 2.7045 | 0.0000 | 98.8506 | 4494 | 5841 | 74 | 6 | 39 | 58.5814 |
| 26 | 25.9409 | 23.7909 | 26.2650 | 29.4118 | 23.5294 | 967 | 1569 | 219 | 2 | 214 | 73.6024 |
| 27 | 63.0978 | 57.5860 | 39.1814 | 48.3871 | 3.2258 | 311 | 1091 | 473 | 7 | 324 | 77.9847 |
| 28 | -25.9771 | -33.8729 | 16.1158 | 0.0000 | 35.0000 | 1506 | 1459 | 226 | 5 | 185 | 66.3571 |
| 29 | 6.8395 | 5.0353 | 16.8307 | 16.0000 | 28.0000 | 738 | 1148 | 198 | 1 | 191 | 69.9723 |
| 30 | 38.7292 | 38.7292 | 41.8155 | 20.0000 | 2.2222 | 236 | 787 | 192 | 0 | 120 | 74.6408 |
| 31 | 64.9274 | 64.9274 | 51.1080 | 68.8889 | 2.2222 | 281 | 357 | 135 | 0 | 95 | 76.2767 |
| 32 | 38.7146 | 36.4475 | 39.4591 | 15.0000 | 35.0000 | 467 | 2542 | 233 | 3 | 236 | 73.5229 |