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Video Anomaly Detection On Cuhk Avenue

Métriques

AUC

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	AUC	Paper Title	Repository
MAMA	91.2%	Making Anomalies More Anomalous: Video Anomaly Detection Using a Novel Generator and Destroyer
VideoPatchCore	92.8%	VideoPatchCore: An Effective Method to Memorize Normality for Video Anomaly Detection
AnomalyRuler	89.7%	Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models
PGM	92.72%	Bounding Boxes and Probabilistic Graphical Models: Video Anomaly Detection Simplified
AnyAnomaly	87.3%	AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM
HF2-VAD	91.1%	A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction

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