Video Anomaly Detection On Shanghaitech

AUC

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	AUC	Paper Title
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

0 of 3 row(s) selected.