Anomaly Detection In Surveillance Videos On 3

AUC

Results

Performance results of various models on this benchmark

		Paper Title	Repository
Background-Agnostic Framework	98.7	A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video
RTFM	98.6	Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning
CL-VAD	97.8	Continual Learning for Anomaly Detection in Surveillance Videos	-
SSMTL	97.5	Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
FastAno	96.3	FastAno: Fast Anomaly Detection via Spatio-temporal Patch Transformation
GCN-Anomaly	93.2	Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection

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