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Anomaly Detection In Surveillance Videos On 3

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AUC

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

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

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Anomaly Detection In Surveillance Videos On 3 | SOTA | HyperAI