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Video Anomaly Detection
Video Anomaly Detection On Shanghaitech
Video Anomaly Detection On Shanghaitech
Metrics
AUC
Results
Performance results of various models on this benchmark
Columns
Model Name
AUC
Paper Title
Repository
PoseWatch-H
85.75
Human-Centric Video Anomaly Detection Through Spatio-Temporal Pose Tokenization and Transformer
-
HF2-VAD
76.2
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction
-
TSGAD
80.6
An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction
-
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Video Anomaly Detection On Shanghaitech | SOTA | HyperAI