most citedSynthetic Pseudo Anomalies for Unsupervised Video Anomaly Detection: A Simple yet Efficient Framework based on Masked Autoencoder

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cs.CV2023

Multi-level Memory-augmented Appearance-Motion Correspondence Framework for Video Anomaly Detection

Xiangyu Huang, Caidan Zhao, Jinghui Yu +2

Frame prediction based on AutoEncoder plays a significant role in unsupervised video anomaly detection. Ideally, the models trained on the normal data could generate larger predict…

cs.CV2023★ 1 cited

Synthetic Pseudo Anomalies for Unsupervised Video Anomaly Detection: A Simple yet Efficient Framework based on Masked Autoencoder

Xiangyu Huang, Caidan Zhao, Chenxing Gao +2

Due to the limited availability of anomalous samples for training, video anomaly detection is commonly viewed as a one-class classification problem. Many prevalent methods investig…