Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
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2
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 |
---|---|---|---|---|---|---|---|
0.0094 | 0.0160 | 0.0087 | 0.0035 | 0.0119 | 0.0185 | 0.0117 | 0.0056 |
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 | 0.0246 | 0.0352 | 0.0317 | 0.0068 | 0.0212 | 0.0340 | 0.0227 | 0.0070 |
21 | 0.0142 | 0.0169 | 0.0184 | 0.0074 | 0.0216 | 0.0278 | 0.0256 | 0.0113 |
22 | 0.0042 | 0.0076 | 0.0036 | 0.0016 | 0.0036 | 0.0062 | 0.0032 | 0.0013 |
23 | 0.0349 | 0.0500 | 0.0364 | 0.0183 | 0.0545 | 0.0758 | 0.0591 | 0.0285 |
24 | 0.0176 | 0.0268 | 0.0187 | 0.0074 | 0.0169 | 0.0256 | 0.0160 | 0.0089 |
25 | 0.0025 | 0.0028 | 0.0033 | 0.0013 | 0.0021 | 0.0030 | 0.0025 | 0.0008 |
26 | 0.0651 | 0.0751 | 0.0716 | 0.0487 | 0.0738 | 0.0847 | 0.0778 | 0.0589 |
27 | 0.0489 | 0.0704 | 0.0535 | 0.0228 | 0.0604 | 0.0828 | 0.0647 | 0.0338 |
28 | 0.0078 | 0.0119 | 0.0086 | 0.0030 | 0.0076 | 0.0100 | 0.0086 | 0.0042 |
29 | 0.0206 | 0.0275 | 0.0218 | 0.0123 | 0.0217 | 0.0275 | 0.0234 | 0.0143 |
30 | 0.0794 | 0.1070 | 0.0837 | 0.0477 | 0.0821 | 0.1103 | 0.0844 | 0.0516 |
31 | 0.0985 | 0.1371 | 0.1088 | 0.0497 | 0.1033 | 0.1427 | 0.1153 | 0.0517 |
32 | 0.0199 | 0.0415 | 0.0142 | 0.0041 | 0.0229 | 0.0460 | 0.0175 | 0.0053 |