Video Anomaly Detection On Shanghaitech

AUC

Results

Performance results of various models on this benchmark

		Paper Title
PoseWatch-H	85.75	Human-Centric Video Anomaly Detection Through Spatio-Temporal Pose Tokenization and Transformer
TSGAD	80.6	An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction
HF2-VAD	76.2	A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction

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