Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
ynnb3
ynnb3
5
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 |
---|---|---|---|---|---|---|---|
0.0169 | 0.0252 | 0.0174 | 0.0080 | 0.0218 | 0.0280 | 0.0232 | 0.0143 |
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 | 0.0394 | 0.0553 | 0.0420 | 0.0210 | 0.0743 | 0.0956 | 0.0805 | 0.0469 |
21 | 0.0355 | 0.0367 | 0.0425 | 0.0275 | 0.0420 | 0.0445 | 0.0508 | 0.0306 |
22 | 0.0414 | 0.0450 | 0.0501 | 0.0293 | 0.0512 | 0.0584 | 0.0675 | 0.0278 |
23 | 0.0468 | 0.0591 | 0.0505 | 0.0308 | 0.0881 | 0.1074 | 0.0934 | 0.0635 |
24 | 0.0367 | 0.0485 | 0.0402 | 0.0214 | 0.0518 | 0.0640 | 0.0565 | 0.0349 |
25 | 0.0030 | 0.0040 | 0.0029 | 0.0020 | 0.0028 | 0.0038 | 0.0027 | 0.0019 |
26 | 0.0895 | 0.1005 | 0.0915 | 0.0765 | 0.1423 | 0.1495 | 0.1449 | 0.1325 |
27 | 0.0934 | 0.1295 | 0.1024 | 0.0483 | 0.1206 | 0.1576 | 0.1308 | 0.0735 |
28 | 0.0177 | 0.0302 | 0.0176 | 0.0054 | 0.0172 | 0.0263 | 0.0195 | 0.0059 |
29 | 0.0329 | 0.0462 | 0.0369 | 0.0156 | 0.1139 | 0.1287 | 0.1197 | 0.0934 |
30 | 0.0790 | 0.0964 | 0.0980 | 0.0424 | 0.1137 | 0.1264 | 0.1326 | 0.0820 |
31 | 0.1279 | 0.1690 | 0.1403 | 0.0743 | 0.1619 | 0.2008 | 0.1749 | 0.1100 |
32 | 0.0237 | 0.0439 | 0.0185 | 0.0086 | 0.0279 | 0.0499 | 0.0219 | 0.0118 |