Improved Video Anomaly Detection with Dual Generators and Channel Attention

Improved Video Anomaly Detection with Dual Generators and Channel Attention

Video anomaly detection is a crucial aspect of understanding surveillance videos in real-world scenarios and has been gaining attention in the computer vision community. However, a significant challenge is that the training data only include normal events, making it difficult for models to learn abn...

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Bibliographic Details
Main Authors:	Xiaosha Qi, Zesheng Hu, Genlin Ji
Format:	Article
Language:	English
Published:	MDPI AG 2023-02-01
Series:	Applied Sciences
Subjects:	generative adversarial networks video anomaly detection reconstruction
Online Access:	https://www.mdpi.com/2076-3417/13/4/2284

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