Home News Latest Papers Tutorials Datasets Wiki SOTA LLM Models GPU Leaderboard Events

English

Video Anomaly Detection On Cuhk Avenue

Metrics

AUC

Results

Performance results of various models on this benchmark

Model Name	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

0 of 6 row(s) selected.