Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
mi
mi
8
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 |
---|---|---|---|---|---|---|---|
0.0141 | 0.0249 | 0.0153 | 0.0019 | 0.0208 | 0.0333 | 0.0249 | 0.0041 |
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 | 0.0024 | 0.0047 | 0.0022 | 0.0003 | 0.0014 | 0.0026 | 0.0013 | 0.0003 |
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 | 0.0756 | 0.1193 | 0.0951 | 0.0123 | 0.0959 | 0.1442 | 0.1233 | 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 | 0.1034 | 0.1406 | 0.1343 | 0.0353 | 0.1230 | 0.1637 | 0.1601 | 0.0452 |
27 | 0.0653 | 0.0984 | 0.0811 | 0.0164 | 0.0702 | 0.1035 | 0.0882 | 0.0190 |
28 | 0.0109 | 0.0181 | 0.0132 | 0.0013 | 0.0175 | 0.0271 | 0.0230 | 0.0023 |
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 | 0.0037 | 0.0066 | 0.0039 | 0.0006 | 0.0038 | 0.0069 | 0.0039 | 0.0006 |