General Action Video Anomaly Detection
2 papers with code • 1 benchmarks • 1 datasets
Detecting if an entire short clip of a any action features an anomalous motion - another action class not seen during training.
Benchmarks
These leaderboards are used to track progress in General Action Video Anomaly Detection
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Something-Something V2
Most implemented papers
Learning Memory-guided Normality for Anomaly Detection
cvlab-yonsei/MNAD
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CVPR 2020
To address this problem, we present an unsupervised learning approach to anomaly detection that considers the diversity of normal patterns explicitly, while lessening the representation capacity of CNNs.
Approaches Toward Physical and General Video Anomaly Detection
The classes differ in the presented phenomena, the normal class variability, and the kind of anomalies in the videos.
