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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) |
QHY
QHY
2
Benchmark
performance:
| MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
|---|---|---|---|---|---|---|---|---|---|---|
| 37.5515 | 32.1523 | 40.2034 | 20.7765 | 29.4858 | 7433 | 31524 | 4554 | 94 | 3490 | 75.6022 |
Detailed
performance:
| Video ID | MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 20 | 69.8910 | 67.5424 | 59.3864 | 63.2653 | 6.1224 | 1193 | 2041 | 358 | 7 | 370 | 78.9355 |
| 21 | 12.6620 | 8.6620 | 26.0348 | 0.0000 | 26.6667 | 214 | 553 | 109 | 1 | 65 | 66.6381 |
| 22 | 6.9537 | 0.7790 | 13.5041 | 5.8252 | 25.2427 | 1184 | 6543 | 1305 | 15 | 896 | 68.3479 |
| 23 | 77.4755 | 71.2213 | 57.7283 | 64.2857 | 14.2857 | 93 | 715 | 202 | 7 | 172 | 80.2777 |
| 24 | 4.7428 | -7.1797 | 12.0599 | 1.5198 | 62.6140 | 824 | 11268 | 702 | 40 | 417 | 68.5805 |
| 25 | 54.4466 | 49.1808 | 67.7413 | 26.4368 | 0.0000 | 664 | 1890 | 212 | 8 | 195 | 73.4490 |
| 26 | 30.2419 | 28.0919 | 31.8746 | 35.2941 | 23.5294 | 718 | 1714 | 163 | 2 | 163 | 76.3135 |
| 27 | 67.3686 | 61.8568 | 38.5038 | 59.6774 | 1.6129 | 205 | 903 | 550 | 7 | 398 | 78.2619 |
| 28 | 5.0533 | -2.8425 | 27.3721 | 20.0000 | 25.0000 | 1153 | 1002 | 250 | 5 | 167 | 71.2476 |
| 29 | 18.1046 | 16.3004 | 32.6241 | 24.0000 | 28.0000 | 649 | 1034 | 149 | 1 | 149 | 65.7832 |
| 30 | 48.8149 | 48.8149 | 51.7626 | 22.2222 | 2.2222 | 88 | 735 | 192 | 0 | 131 | 76.9075 |
| 31 | 67.9673 | 67.9673 | 57.3192 | 62.2222 | 4.4444 | 116 | 473 | 117 | 0 | 131 | 78.9359 |
| 32 | 38.9414 | 38.1857 | 44.1458 | 25.0000 | 40.0000 | 332 | 2653 | 245 | 1 | 236 | 75.2746 |