Anomaly Detection In Surveillance Videos On 5
평가 지표
mAP @0.5:0.95
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | mAP @0.5:0.95 | Paper Title | Repository |
---|---|---|---|
Faster R-CNN (R101) | 73.2 | VFP290K: A Large-Scale Benchmark Dataset for Vision-based Fallen Person Detection | |
MPED-RNN (with memory extension) | - | FOR THE SAKE OF PRIVACY: SKELETON-BASED SALIENT BEHAVIOR RECOGNITION | - |
MPED-RNN | - | FOR THE SAKE OF PRIVACY: SKELETON-BASED SALIENT BEHAVIOR RECOGNITION | - |
GEPC | - | FOR THE SAKE OF PRIVACY: SKELETON-BASED SALIENT BEHAVIOR RECOGNITION | - |
0 of 4 row(s) selected.