Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
Identify human behaviors using a dual-branch CNN
no statistics up to now
9
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 |
---|---|---|---|---|---|---|---|
0.2548 | 0.3493 | 0.2922 | 0.1230 | 0.2772 | 0.3616 | 0.3208 | 0.1493 |
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 | 0.2390 | 0.2902 | 0.2801 | 0.1465 | 0.2385 | 0.2862 | 0.2758 | 0.1535 |
21 | 0.0473 | 0.0642 | 0.0520 | 0.0256 | 0.0575 | 0.0709 | 0.0603 | 0.0413 |
22 | 0.1671 | 0.2173 | 0.1880 | 0.0958 | 0.2062 | 0.2677 | 0.2502 | 0.1007 |
23 | 0.3787 | 0.4469 | 0.4342 | 0.2549 | 0.3988 | 0.4628 | 0.4578 | 0.2758 |
24 | 0.1007 | 0.1469 | 0.1275 | 0.0277 | 0.1226 | 0.1702 | 0.1534 | 0.0440 |
25 | 0.2220 | 0.3102 | 0.2826 | 0.0730 | 0.2225 | 0.3112 | 0.2819 | 0.0742 |
26 | 0.2208 | 0.2480 | 0.2352 | 0.1793 | 0.2431 | 0.2608 | 0.2527 | 0.2159 |
27 | 0.4108 | 0.4528 | 0.4525 | 0.3273 | 0.4258 | 0.4656 | 0.4622 | 0.3495 |
28 | 0.1018 | 0.1430 | 0.1167 | 0.0457 | 0.1047 | 0.1428 | 0.1290 | 0.0424 |
29 | 0.2799 | 0.3814 | 0.3142 | 0.1442 | 0.3693 | 0.4482 | 0.4088 | 0.2510 |
30 | 0.3003 | 0.3752 | 0.3500 | 0.1759 | 0.3561 | 0.4286 | 0.4188 | 0.2210 |
31 | 0.4908 | 0.6535 | 0.5588 | 0.2600 | 0.4944 | 0.6384 | 0.5673 | 0.2773 |
32 | 0.1179 | 0.1594 | 0.1255 | 0.0687 | 0.1182 | 0.1567 | 0.1252 | 0.0727 |