Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
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2
Benchmark
performance:
MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
---|---|---|---|---|---|---|---|---|---|---|
37.7051 | 32.7654 | 43.4570 | 15.2151 | 52.1511 | 3517 | 38557 | 1330 | 86 | 2565 | 76.7589 |
Detailed
performance:
Video ID | MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
---|---|---|---|---|---|---|---|---|---|---|---|
20 | 64.7611 | 62.4125 | 67.5470 | 46.9388 | 14.2857 | 614 | 3496 | 94 | 7 | 324 | 78.0905 |
21 | 5.9821 | 1.9821 | 22.0963 | 3.3333 | 40.0000 | 155 | 749 | 39 | 1 | 66 | 66.2053 |
22 | 16.4830 | 10.3083 | 20.0911 | 5.8252 | 43.6893 | 608 | 7071 | 428 | 15 | 572 | 70.9274 |
23 | 79.3711 | 74.9038 | 55.3306 | 71.4286 | 14.2857 | 54 | 824 | 47 | 5 | 146 | 80.5238 |
24 | 13.2529 | 1.3304 | 20.1946 | 3.0395 | 63.8298 | 325 | 11054 | 272 | 40 | 393 | 72.0205 |
25 | -10.2437 | -12.2184 | 1.6947 | 0.0000 | 100.0000 | 696 | 5995 | 3 | 3 | 6 | 58.8969 |
26 | 44.0323 | 41.8823 | 45.5223 | 29.4118 | 29.4118 | 317 | 1716 | 49 | 2 | 130 | 80.4902 |
27 | 75.2017 | 69.6899 | 68.6827 | 56.4516 | 6.4516 | 91 | 1060 | 109 | 7 | 286 | 79.4272 |
28 | 39.5973 | 33.2807 | 42.9648 | 15.0000 | 40.0000 | 198 | 1284 | 48 | 4 | 108 | 69.8085 |
29 | 44.8815 | 43.0773 | 37.2004 | 32.0000 | 24.0000 | 176 | 978 | 79 | 1 | 128 | 71.6082 |
30 | 43.7216 | 43.7216 | 52.7386 | 8.8889 | 8.8889 | 77 | 994 | 45 | 0 | 103 | 74.6416 |
31 | 74.8639 | 74.8639 | 75.8383 | 71.1111 | 6.6667 | 84 | 436 | 34 | 0 | 109 | 78.1486 |
32 | 41.3043 | 40.5486 | 45.0141 | 20.0000 | 42.5000 | 122 | 2900 | 83 | 1 | 194 | 77.7118 |