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Models/MoCoDAD

MoCoDAD

Reported on 9 benchmarks across 3 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision6 results

3D Anomaly DetectiononHR-Avenue
AUC· 2023-07-14
89
best: 89.4 (TrajREC)
SOTA
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection arXiv:2307.07205
3D Anomaly DetectiononHR-UBnormal
AUC· 2023-07-14
68.4
SOTA
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection arXiv:2307.07205
Video Anomaly DetectiononHR-Avenue
AUC· 2023-07-14
89
best: 89.4 (TrajREC)
SOTA
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection arXiv:2307.07205
Video Anomaly DetectiononHR-UBnormal
AUC· 2023-07-14
68.4
SOTA
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection arXiv:2307.07205
3D Anomaly DetectiononHR-ShanghaiTech
AUC· 2023-07-14
77.6
best: 87.23 (PoseWatch-H)
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection arXiv:2307.07205
Video Anomaly DetectiononHR-ShanghaiTech
AUC· 2023-07-14
77.6
best: 87.23 (PoseWatch-H)
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection arXiv:2307.07205

Methodology3 results

Anomaly DetectiononHR-Avenue
AUC· 2023-07-14
89
best: 89.4 (TrajREC)
SOTA
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection arXiv:2307.07205
Anomaly DetectiononHR-UBnormal
AUC· 2023-07-14
68.4
SOTA
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection arXiv:2307.07205
Anomaly DetectiononHR-ShanghaiTech
AUC· 2023-07-14
77.6
best: 87.23 (PoseWatch-H)
Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection arXiv:2307.07205