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Models/TSGAD

TSGAD

Reported on 7 benchmarks across 3 tasks · 1 paper · 4 SOTA

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

Computer Vision4 results

3D Anomaly DetectiononShanghaiTech Campus
AUC· 2024-04-29
80.6
best: 85.75 (PoseWatch-H)
SOTA
An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction arXiv:2406.15395
Video Anomaly DetectiononShanghaiTech Campus
AUC· 2024-04-29
80.6
best: 85.75 (PoseWatch-H)
SOTA
An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction arXiv:2406.15395
3D Anomaly DetectiononHR-ShanghaiTech
AUC· 2024-04-29
81.77
best: 87.23 (PoseWatch-H)
An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction arXiv:2406.15395
Video Anomaly DetectiononHR-ShanghaiTech
AUC· 2024-04-29
81.77
best: 87.23 (PoseWatch-H)
An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction arXiv:2406.15395

Methodology3 results

Anomaly DetectiononShanghaiTech Campus
AUC-ROC· 2024-04-29
80.67
SOTA
An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction arXiv:2406.15395
Anomaly DetectiononShanghaiTech Campus
AUC· 2024-04-29
80.6
best: 85.75 (PoseWatch-H)
SOTA
An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction arXiv:2406.15395
Anomaly DetectiononHR-ShanghaiTech
AUC· 2024-04-29
81.77
best: 87.23 (PoseWatch-H)
An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction arXiv:2406.15395