Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
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6
Benchmark
performance:
MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
---|---|---|---|---|---|---|---|---|---|---|
53.1683 | 48.4584 | 51.6965 | 26.6527 | 27.4921 | 2837 | 28485 | 1308 | 82 | 1730 | 79.2036 |
Detailed
performance:
Video ID | MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
---|---|---|---|---|---|---|---|---|---|---|---|
20 | 81.0981 | 79.0850 | 72.0709 | 87.7551 | 4.0816 | 995 | 1170 | 90 | 6 | 123 | 82.0301 |
21 | 29.6112 | 25.6112 | 40.5694 | 3.3333 | 36.6667 | 38 | 639 | 29 | 1 | 34 | 69.9096 |
22 | 26.2079 | 20.4448 | 26.9651 | 11.6505 | 36.8932 | 206 | 6707 | 250 | 14 | 452 | 74.3778 |
23 | 81.2444 | 77.6706 | 54.6394 | 71.4286 | 14.2857 | 55 | 703 | 83 | 4 | 77 | 81.5809 |
24 | 17.4075 | 7.2734 | 24.5229 | 6.0790 | 54.7112 | 259 | 10614 | 220 | 34 | 247 | 73.8841 |
25 | 56.5382 | 51.2724 | 69.2025 | 12.6437 | 3.4483 | 117 | 2481 | 41 | 8 | 141 | 76.7810 |
26 | 57.1237 | 54.9737 | 49.3940 | 47.0588 | 17.6471 | 227 | 1314 | 54 | 2 | 90 | 79.7856 |
27 | 74.3161 | 68.8043 | 46.8414 | 77.4194 | 4.8387 | 230 | 815 | 260 | 7 | 233 | 79.1416 |
28 | 57.4812 | 51.1646 | 43.2234 | 45.0000 | 15.0000 | 284 | 709 | 84 | 4 | 95 | 74.5261 |
29 | 54.8502 | 53.0460 | 54.2857 | 44.0000 | 12.0000 | 347 | 621 | 42 | 1 | 64 | 77.9603 |
30 | 62.7332 | 62.7332 | 66.1650 | 37.7778 | 2.2222 | 24 | 668 | 47 | 0 | 53 | 81.5974 |
31 | 85.7532 | 85.7532 | 71.3981 | 88.8889 | 4.4444 | 34 | 229 | 51 | 0 | 44 | 80.5956 |
32 | 64.2155 | 63.4598 | 58.9574 | 32.5000 | 20.0000 | 21 | 1815 | 57 | 1 | 77 | 80.8296 |