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Anomaly Detection In Surveillance Videos On 1

Metrics

AUC-ROC

Results

Performance results of various models on this benchmark

		Paper Title	Repository
PEL	98.14	Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection
S3R	97.48	Self-supervised Sparse Representation for Video Anomaly Detection	-
Learning Causal Temporal Relation and Feature Discrimination for Anomaly Detection	97.48	Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning
Learning Causal Temporal Relation and Feature Discrimination for Anomaly Detection	97.48	007: Democratically Finding The Cause of Packet Drops	-
RTFM	97.21	Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning
MIST	94.83	MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection
AR-Net	91.24	Weakly Supervised Video Anomaly Detection via Center-guided Discriminative Learning
Multiple-Instance-Based-Video-Anomaly-Detection-Using-Deep-Temporal-Encoding-Decoding	89.14	Multiple Instance-Based Video Anomaly Detection using Deep Temporal Encoding-Decoding
GCN-Anomaly	84.44	Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection

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Anomaly Detection In Surveillance Videos On 1 | SOTA | HyperAI