Video Anomaly Detection On Cuhk Avenue

Metrics

AUC

Results

Performance results of various models on this benchmark

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

0 of 6 row(s) selected.

Video Anomaly Detection On Cuhk Avenue

Metrics

AUC

Results

Performance results of various models on this benchmark

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

0 of 6 row(s) selected.

Video Anomaly Detection On Cuhk Avenue | SOTA | HyperAI超神经