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Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
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Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
Benchmark
performance:
| T_w_AP | T_w_AP_50 | T_w_AP_75 | T_w_AP_90 | T_AP | T_AP_50 | T_AP_75 | T_AP_90 |
|---|---|---|---|---|---|---|---|
| 32.0486 | 34.1691 | 32.8882 | 29.0885 | 34.5529 | 36.2110 | 35.4178 | 32.0298 |
Detailed
performance:
| T_w_AP | T_w_AP_50 | T_w_AP_75 | T_w_AP_90 | T_AP | T_AP_50 | T_AP_75 | T_AP_90 | |
|---|---|---|---|---|---|---|---|---|
| hm_in_waiting_hall (ID:20) | 43.3301 | 49.4884 | 43.7181 | 36.7838 | 43.3776 | 49.4515 | 43.7543 | 36.9269 |
| hm_in_bus (ID:21) | 14.6780 | 10.6523 | 17.2374 | 16.1444 | 14.6079 | 10.7192 | 17.1634 | 15.9410 |
| hm_in_dining_room2 (ID:22) | 10.9718 | 13.3240 | 10.0901 | 9.5014 | 10.9019 | 13.1451 | 9.9949 | 9.5657 |
| hm_in_lab2 (ID:23) | 41.3418 | 47.3794 | 40.9845 | 35.6616 | 42.4615 | 47.9235 | 42.4772 | 36.9838 |
| hm_in_subway_station (ID:24) | 27.0853 | 31.7093 | 26.5515 | 22.9950 | 27.7604 | 32.7199 | 27.1622 | 23.3992 |
| hm_in_passage (ID:25) | 27.3877 | 19.8541 | 30.1451 | 32.1639 | 27.5457 | 20.2958 | 30.1746 | 32.1668 |
| hm_in_fighting4 (ID:26) | 27.2753 | 28.0618 | 28.2412 | 25.5229 | 28.3697 | 28.2185 | 29.3713 | 27.5194 |
| hm_in_shopping_mall3 (ID:27) | 57.9407 | 56.7759 | 61.5418 | 55.5043 | 59.0839 | 57.5050 | 62.7763 | 56.9704 |
| hm_in_restaurant (ID:28) | 37.2591 | 36.2080 | 39.7521 | 35.8173 | 36.3009 | 33.5552 | 38.1646 | 37.1829 |
| hm_in_accident (ID:29) | 35.8457 | 37.2989 | 37.0419 | 33.1963 | 35.1908 | 37.3197 | 35.8554 | 32.3974 |
| hm_in_stair3 (ID:30) | 37.4031 | 31.9255 | 44.6491 | 35.6348 | 37.0447 | 31.9961 | 43.7551 | 35.3830 |
| hm_in_crossroad (ID:31) | 59.4803 | 69.3103 | 58.1273 | 51.0034 | 59.9934 | 69.0629 | 56.8390 | 54.0784 |
| hm_in_robbery (ID:32) | 32.1399 | 35.3229 | 31.2497 | 29.8470 | 32.6624 | 35.5914 | 31.9175 | 30.4782 |