Learning Causal Temporal Relation and Feature Discrimination for Anomaly Detection-Reference-Cited by-同舟云学术

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Learning Causal Temporal Relation and Feature Discrimination for Anomaly Detection

Published:2021 Issue: Volume:30 Page:3513-3527
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Wu Peng^ORCID,Liu Jing^ORCID

Funder

Key Project of Science and Technology Innovation 2030 supported by the Ministry of Science and Technology of China

General Program of National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9263394/09369126.pdf?arnumber=9369126

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4. Fusing crops representation into snippet via mutual learning for weakly supervised surveillance anomaly detection;IET Computer Vision;2024-07-02

5. Weakly-Supervised Video Anomaly Detection With Snippet Anomalous Attention;IEEE Transactions on Circuits and Systems for Video Technology;2024-07

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