Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
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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 |
---|---|---|---|---|---|---|---|
0.0425 | 0.0582 | 0.0505 | 0.0188 | 0.0370 | 0.0519 | 0.0442 | 0.0148 |
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 | 0.0268 | 0.0319 | 0.0307 | 0.0179 | 0.0271 | 0.0321 | 0.0302 | 0.0190 |
21 | 0.0278 | 0.0362 | 0.0348 | 0.0125 | 0.0342 | 0.0457 | 0.0417 | 0.0153 |
22 | 0.0470 | 0.0713 | 0.0534 | 0.0161 | 0.0433 | 0.0664 | 0.0479 | 0.0157 |
23 | 0.0969 | 0.1197 | 0.1143 | 0.0568 | 0.1134 | 0.1401 | 0.1343 | 0.0659 |
24 | 0.0234 | 0.0360 | 0.0274 | 0.0067 | 0.0253 | 0.0398 | 0.0294 | 0.0067 |
25 | 0.0056 | 0.0070 | 0.0062 | 0.0035 | 0.0065 | 0.0081 | 0.0082 | 0.0034 |
26 | 0.1257 | 0.1317 | 0.1321 | 0.1132 | 0.0790 | 0.0889 | 0.0865 | 0.0616 |
27 | 0.1044 | 0.1358 | 0.1225 | 0.0547 | 0.1014 | 0.1330 | 0.1209 | 0.0503 |
28 | 0.0364 | 0.0563 | 0.0335 | 0.0194 | 0.0300 | 0.0445 | 0.0281 | 0.0174 |
29 | 0.0437 | 0.0663 | 0.0504 | 0.0144 | 0.0481 | 0.0608 | 0.0578 | 0.0259 |
30 | 0.0800 | 0.0964 | 0.0881 | 0.0555 | 0.0698 | 0.0728 | 0.0747 | 0.0619 |
31 | 0.2257 | 0.3039 | 0.2465 | 0.1266 | 0.1809 | 0.2529 | 0.2020 | 0.0877 |
32 | 0.0349 | 0.0524 | 0.0413 | 0.0109 | 0.0403 | 0.0615 | 0.0477 | 0.0118 |