Weakly Supervised Video Anomaly Detection Based on Cross-Batch Clustering Guidance-Reference-Cited by-同舟云学术

Weakly Supervised Video Anomaly Detection Based on Cross-Batch Clustering Guidance

Published:2023-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Multimedia and Expo (ICME)
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Author:

Cao Congqi¹,Zhang Xin¹,Zhang Shizhou¹,Wang Peng¹,Zhang Yanning¹

Affiliation:

1. Northwestern Polytechnical University,ASGO National Engineering Laboratory, School of Computer Science

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10219544/10219545/10219658.pdf?arnumber=10219658

Reference17 articles.

1. Graph convolutional label noise cleaner: Train a plug-and-play action classifier for anomaly detection;zhong;Proc IEEE Conf Comput Vision Pattern Recognit,2019

2. A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework

3. MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection

4. Not only Look, But Also Listen: Learning Multimodal Violence Detection Under Weak Supervision

5. Learning Deep Features for One-Class Classification

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