Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
refine
20min
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 |
---|---|---|---|---|---|---|---|
0.0461 | 0.0643 | 0.0524 | 0.0215 | 0.0605 | 0.0774 | 0.0673 | 0.0367 |
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 | 0.0570 | 0.0820 | 0.0680 | 0.0210 | 0.0599 | 0.0804 | 0.0719 | 0.0273 |
21 | 0.0398 | 0.0502 | 0.0465 | 0.0225 | 0.0329 | 0.0421 | 0.0379 | 0.0187 |
22 | 0.0266 | 0.0332 | 0.0317 | 0.0150 | 0.0379 | 0.0468 | 0.0465 | 0.0203 |
23 | 0.1569 | 0.1935 | 0.1817 | 0.0956 | 0.1808 | 0.2094 | 0.2029 | 0.1300 |
24 | 0.0243 | 0.0421 | 0.0231 | 0.0076 | 0.0318 | 0.0512 | 0.0305 | 0.0138 |
25 | 0.0056 | 0.0083 | 0.0057 | 0.0028 | 0.0072 | 0.0099 | 0.0072 | 0.0043 |
26 | 0.1035 | 0.1092 | 0.1039 | 0.0974 | 0.0949 | 0.0991 | 0.0976 | 0.0879 |
27 | 0.1432 | 0.1712 | 0.1572 | 0.1011 | 0.1538 | 0.1779 | 0.1682 | 0.1154 |
28 | 0.0318 | 0.0443 | 0.0391 | 0.0119 | 0.0320 | 0.0431 | 0.0379 | 0.0150 |
29 | 0.0244 | 0.0439 | 0.0224 | 0.0071 | 0.0312 | 0.0538 | 0.0324 | 0.0075 |
30 | 0.1107 | 0.1368 | 0.1275 | 0.0679 | 0.1082 | 0.1240 | 0.1202 | 0.0805 |
31 | 0.0967 | 0.1485 | 0.1021 | 0.0395 | 0.1031 | 0.1543 | 0.1093 | 0.0458 |
32 | 0.0118 | 0.0223 | 0.0103 | 0.0028 | 0.0119 | 0.0235 | 0.0099 | 0.0024 |