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Anomaly Detection In Surveillance Videos On 1

Métriques

AUC-ROC

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	AUC-ROC	Paper Title	Repository
MIST	94.83	MIST: Multiple Instance Self-Training Framework for 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
Multiple-Instance-Based-Video-Anomaly-Detection-Using-Deep-Temporal-Encoding-Decoding	89.14	Multiple Instance-Based Video Anomaly Detection using Deep Temporal Encoding-Decoding
AR-Net	91.24	Weakly Supervised Video Anomaly Detection via Center-guided Discriminative Learning
RTFM	97.21	Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning
GCN-Anomaly	84.44	Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
PEL	98.14	Learning Prompt-Enhanced Context Features for Weakly-Supervised Video Anomaly Detection

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