Spatio-temporal graph-based CNNs for anomaly detection in weakly-labeled videos

Author:

Mu HuiyuORCID,Sun RuizhiORCID,Wang Miao,Chen ZeqiuORCID

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference41 articles.

1. Ganomaly: semisupervised anomaly detection via adversarial training;Akcay,2019

2. Learning backtrackless aligned-spatial graph convolutional networks for graph classification;Bail;IEEE Transactions on Pattern Analysis and Machine Intelligence,2022

3. Near-duplicate video detection featuring coupled temporal and perceptual visual structures and logical inference based matching;Belkhatir;Information Processing Management,2012

4. Quo vadis, action recognition? a new model and the kinetics dataset;Carreira,2017

5. Comprehensive Regularization in a Bi-directional Predictive Network for Video Anomaly Detection;Chen,2022

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