Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
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Benchmark
performance:
MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
---|---|---|---|---|---|---|---|---|---|---|
28.4047 | 23.6948 | 28.2363 | 10.8080 | 44.7009 | 4763 | 42322 | 2799 | 82 | 3012 | 76.9809 |
Detailed
performance:
Video ID | MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
---|---|---|---|---|---|---|---|---|---|---|---|
20 | 46.4878 | 44.1392 | 38.7134 | 28.5714 | 26.5306 | 685 | 5270 | 429 | 7 | 450 | 76.7910 |
21 | 3.5892 | -0.4108 | 13.4567 | 0.0000 | 76.6667 | 65 | 882 | 20 | 1 | 39 | 72.7051 |
22 | 1.0302 | -3.9096 | 9.6190 | 5.8252 | 75.7282 | 829 | 8537 | 241 | 12 | 223 | 71.6079 |
23 | 46.3426 | 41.8753 | 32.6372 | 42.8571 | 21.4286 | 905 | 1398 | 103 | 5 | 169 | 78.9188 |
24 | 6.9838 | -2.2561 | 9.5128 | 0.6079 | 73.5562 | 396 | 11721 | 376 | 31 | 334 | 72.9848 |
25 | 49.4071 | 44.1413 | 49.8603 | 19.5402 | 9.1954 | 96 | 2577 | 399 | 8 | 415 | 85.1893 |
26 | 32.7151 | 30.5651 | 22.3897 | 11.7647 | 35.2941 | 180 | 2180 | 143 | 2 | 209 | 79.3888 |
27 | 25.6839 | 18.5973 | 21.2944 | 8.0645 | 14.5161 | 664 | 2683 | 429 | 9 | 432 | 71.8634 |
28 | 34.8993 | 28.5827 | 30.2302 | 15.0000 | 25.0000 | 240 | 1310 | 99 | 4 | 141 | 72.7827 |
29 | 31.0684 | 29.2642 | 27.6659 | 16.0000 | 28.0000 | 334 | 1085 | 123 | 1 | 153 | 71.4286 |
30 | 34.4932 | 34.4932 | 32.5550 | 11.1111 | 6.6667 | 111 | 1079 | 109 | 0 | 83 | 75.7703 |
31 | 44.2377 | 44.2377 | 37.8238 | 26.6667 | 8.8889 | 49 | 983 | 197 | 0 | 174 | 79.5887 |
32 | 44.1021 | 42.5907 | 42.2418 | 25.0000 | 42.5000 | 209 | 2617 | 131 | 2 | 190 | 76.3217 |