Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
l
l
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 |
---|---|---|---|---|---|---|---|
0.0228 | 0.0398 | 0.0233 | 0.0051 | 0.0319 | 0.0497 | 0.0353 | 0.0108 |
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 | 0.0312 | 0.0518 | 0.0353 | 0.0066 | 0.0275 | 0.0431 | 0.0334 | 0.0060 |
21 | 0.0233 | 0.0306 | 0.0299 | 0.0093 | 0.0193 | 0.0275 | 0.0258 | 0.0046 |
22 | 0.0144 | 0.0207 | 0.0196 | 0.0030 | 0.0164 | 0.0243 | 0.0219 | 0.0030 |
23 | 0.0891 | 0.1426 | 0.1106 | 0.0140 | 0.1195 | 0.1900 | 0.1485 | 0.0201 |
24 | 0.0232 | 0.0387 | 0.0259 | 0.0049 | 0.0245 | 0.0410 | 0.0273 | 0.0051 |
25 | 0.0003 | 0.0006 | 0.0003 | 0.0000 | 0.0003 | 0.0006 | 0.0003 | 0.0000 |
26 | 0.1101 | 0.1440 | 0.1307 | 0.0556 | 0.1004 | 0.1392 | 0.1196 | 0.0424 |
27 | 0.0653 | 0.0984 | 0.0811 | 0.0164 | 0.0702 | 0.1035 | 0.0882 | 0.0190 |
28 | 0.0452 | 0.1040 | 0.0314 | 0.0002 | 0.0421 | 0.0851 | 0.0403 | 0.0009 |
29 | 0.0458 | 0.0861 | 0.0419 | 0.0094 | 0.0483 | 0.0901 | 0.0486 | 0.0063 |
30 | 0.1035 | 0.1540 | 0.1168 | 0.0397 | 0.1007 | 0.1462 | 0.1151 | 0.0407 |
31 | 0.0497 | 0.0777 | 0.0571 | 0.0143 | 0.0413 | 0.0696 | 0.0482 | 0.0062 |
32 | 0.0194 | 0.0339 | 0.0203 | 0.0041 | 0.0253 | 0.0412 | 0.0262 | 0.0085 |