Diffusion-based normality pre-training for weakly supervised video anomaly detection

Author:

Basak SuvramalyaORCID,Gautam AnjaliORCID

Funder

Indian Institute of Information Technology, Allahabad

Publisher

Elsevier BV

Reference73 articles.

1. Appearance-motion memory consistency network for video anomaly detection;Cai,2021

2. Carreira, J., & Zisserman, A. (2017). Quo vadis, action recognition? a new model and the kinetics dataset. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 6299–6308).

3. Contrastive attention for video anomaly detection;Chang;IEEE Transactions on Multimedia,2021

4. Video anomaly detection with spatio-temporal dissociation;Chang;Pattern Recognition,2022

5. Clustering driven deep autoencoder for video anomaly detection;Chang,2020

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