Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
test
test
1
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 |
---|---|---|---|---|---|---|---|
0.0204 | 0.0307 | 0.0218 | 0.0085 | 0.0319 | 0.0509 | 0.0337 | 0.0110 |
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 | 0.0666 | 0.0920 | 0.0736 | 0.0343 | 0.0639 | 0.0871 | 0.0675 | 0.0371 |
21 | 0.0215 | 0.0264 | 0.0288 | 0.0093 | 0.0371 | 0.0465 | 0.0466 | 0.0181 |
22 | 0.0280 | 0.0542 | 0.0228 | 0.0071 | 0.0264 | 0.0551 | 0.0186 | 0.0055 |
23 | 0.0729 | 0.1027 | 0.0813 | 0.0346 | 0.1110 | 0.1683 | 0.1229 | 0.0416 |
24 | 0.1133 | 0.1655 | 0.1570 | 0.0174 | 0.0405 | 0.0576 | 0.0508 | 0.0132 |
25 | 0.0796 | 0.1019 | 0.0855 | 0.0514 | 0.0812 | 0.1040 | 0.0871 | 0.0524 |
26 | 0.1001 | 0.1355 | 0.0993 | 0.0656 | 0.1308 | 0.1505 | 0.1362 | 0.1057 |
27 | 0.0663 | 0.1083 | 0.0707 | 0.0198 | 0.0657 | 0.1104 | 0.0675 | 0.0192 |
28 | 0.0530 | 0.0904 | 0.0564 | 0.0122 | 0.0975 | 0.1540 | 0.1301 | 0.0084 |
29 | 0.0399 | 0.0577 | 0.0428 | 0.0192 | 0.0570 | 0.0860 | 0.0547 | 0.0302 |
30 | 0.1457 | 0.1871 | 0.1644 | 0.0858 | 0.1303 | 0.1668 | 0.1419 | 0.0823 |
31 | 0.1272 | 0.1700 | 0.1395 | 0.0721 | 0.1459 | 0.2050 | 0.1629 | 0.0699 |
32 | 0.0293 | 0.0531 | 0.0259 | 0.0089 | 0.0335 | 0.0595 | 0.0300 | 0.0111 |