Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
final
1
7
Benchmark
performance:
F_w_mAP | F_w_mAP_50 | F_w_mAP_60 | F_w_mAP_75 | F_mAP | F_mAP_50 | F_mAP_60 | F_mAP_75 |
---|---|---|---|---|---|---|---|
0.1531 | 0.1988 | 0.1797 | 0.0807 | 0.2063 | 0.2645 | 0.2414 | 0.1130 |
Detailed
performance:
Video ID | F_w_mAP | F_w_mAP_50 | F_w_mAP_60 | F_w_mAP_75 | F_mAP | F_mAP_50 | F_mAP_60 | F_mAP_75 |
---|---|---|---|---|---|---|---|---|
20 | 0.2503 | 0.3073 | 0.2840 | 0.1595 | 0.2680 | 0.3278 | 0.3026 | 0.1735 |
21 | 0.0986 | 0.1239 | 0.1320 | 0.0401 | 0.1124 | 0.1299 | 0.1716 | 0.0357 |
22 | 0.1845 | 0.2417 | 0.2326 | 0.0793 | 0.1964 | 0.2580 | 0.2501 | 0.0811 |
23 | 0.3827 | 0.4351 | 0.4252 | 0.2879 | 0.4635 | 0.5295 | 0.5188 | 0.3424 |
24 | 0.1147 | 0.1521 | 0.1470 | 0.0450 | 0.0886 | 0.1111 | 0.1086 | 0.0461 |
25 | 0.2457 | 0.3049 | 0.2875 | 0.1446 | 0.2476 | 0.3067 | 0.2896 | 0.1466 |
26 | 0.2914 | 0.3486 | 0.3054 | 0.2202 | 0.3650 | 0.4108 | 0.3823 | 0.3019 |
27 | 0.3103 | 0.3732 | 0.3512 | 0.2065 | 0.3390 | 0.4070 | 0.3786 | 0.2314 |
28 | 0.1691 | 0.2522 | 0.1630 | 0.0922 | 0.2254 | 0.3260 | 0.2073 | 0.1428 |
29 | 0.2597 | 0.3392 | 0.3218 | 0.1180 | 0.3722 | 0.4731 | 0.4555 | 0.1879 |
30 | 0.2797 | 0.3537 | 0.3060 | 0.1795 | 0.3156 | 0.3729 | 0.3356 | 0.2383 |
31 | 0.6245 | 0.7369 | 0.6620 | 0.4747 | 0.4501 | 0.5793 | 0.4934 | 0.2776 |
32 | 0.1754 | 0.2271 | 0.2053 | 0.0936 | 0.1559 | 0.2071 | 0.1877 | 0.0731 |