Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
test
test
19
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 |
---|---|---|---|---|---|---|---|
0.1116 | 0.1447 | 0.1289 | 0.0611 | 0.1838 | 0.2326 | 0.2110 | 0.1076 |
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 | 0.2656 | 0.3242 | 0.2989 | 0.1736 | 0.3140 | 0.3766 | 0.3491 | 0.2162 |
21 | 0.0990 | 0.1329 | 0.1300 | 0.0340 | 0.1623 | 0.2415 | 0.2114 | 0.0341 |
22 | 0.1529 | 0.2111 | 0.1854 | 0.0623 | 0.1667 | 0.2270 | 0.2040 | 0.0693 |
23 | 0.3772 | 0.4400 | 0.4196 | 0.2719 | 0.4162 | 0.4787 | 0.4636 | 0.3064 |
24 | 0.2784 | 0.3693 | 0.3563 | 0.1097 | 0.1807 | 0.2331 | 0.2311 | 0.0778 |
25 | 0.2461 | 0.3050 | 0.2887 | 0.1445 | 0.2569 | 0.3363 | 0.2896 | 0.1448 |
26 | 0.3869 | 0.4393 | 0.4066 | 0.3150 | 0.4752 | 0.5184 | 0.4933 | 0.4138 |
27 | 0.3063 | 0.3782 | 0.3534 | 0.1875 | 0.3574 | 0.4415 | 0.4016 | 0.2293 |
28 | 0.1571 | 0.2319 | 0.1603 | 0.0792 | 0.1963 | 0.2862 | 0.1936 | 0.1092 |
29 | 0.2669 | 0.3565 | 0.3102 | 0.1339 | 0.3548 | 0.4624 | 0.4295 | 0.1725 |
30 | 0.2686 | 0.3461 | 0.2900 | 0.1697 | 0.2945 | 0.3750 | 0.2988 | 0.2098 |
31 | 0.6124 | 0.7230 | 0.6517 | 0.4626 | 0.6679 | 0.7874 | 0.7087 | 0.5075 |
32 | 0.1194 | 0.1599 | 0.1423 | 0.0560 | 0.1281 | 0.1703 | 0.1589 | 0.0551 |