Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
Adaptive FairMOT
5
11
Benchmark
performance:
MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
---|---|---|---|---|---|---|---|---|---|---|
60.2282 | 54.6567 | 60.0026 | 41.2382 | 20.2518 | 4530 | 21292 | 1889 | 97 | 1808 | 74.9261 |
Detailed
performance:
Video ID | MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
---|---|---|---|---|---|---|---|---|---|---|---|
20 | 85.9095 | 83.5609 | 86.9547 | 79.5918 | 4.0816 | 720 | 924 | 37 | 7 | 50 | 81.5332 |
21 | 43.8684 | 39.8684 | 53.3654 | 10.0000 | 20.0000 | 91 | 433 | 39 | 1 | 29 | 67.2793 |
22 | 30.2462 | 23.6598 | 25.7250 | 15.5340 | 13.5922 | 1300 | 4714 | 757 | 16 | 664 | 67.6156 |
23 | 87.9572 | 82.5965 | 70.2147 | 78.5714 | 7.1429 | 196 | 314 | 30 | 6 | 53 | 72.5310 |
24 | 19.5443 | 6.4295 | 19.0592 | 7.2948 | 46.5046 | 433 | 10012 | 361 | 44 | 418 | 70.5633 |
25 | 77.1245 | 72.5170 | 75.4490 | 74.1379 | 0.0000 | 253 | 927 | 209 | 7 | 56 | 73.8690 |
26 | 69.6505 | 67.5005 | 51.3929 | 64.7059 | 0.0000 | 415 | 640 | 74 | 2 | 91 | 69.9405 |
27 | 87.5418 | 82.0300 | 74.9632 | 87.0968 | 3.2258 | 290 | 263 | 80 | 7 | 51 | 77.5273 |
28 | 63.7979 | 60.6396 | 65.6941 | 45.0000 | 20.0000 | 228 | 633 | 56 | 2 | 72 | 75.8698 |
29 | 71.3456 | 69.5414 | 71.3874 | 72.0000 | 16.0000 | 151 | 459 | 31 | 1 | 48 | 78.1330 |
30 | 66.5658 | 66.5658 | 68.8908 | 44.4444 | 0.0000 | 68 | 527 | 68 | 0 | 85 | 75.5698 |
31 | 91.8784 | 91.8784 | 90.4420 | 95.5556 | 2.2222 | 38 | 125 | 16 | 0 | 22 | 75.6175 |
32 | 65.9924 | 62.9695 | 63.6477 | 40.0000 | 15.0000 | 347 | 1321 | 131 | 4 | 169 | 72.7685 |