Learnable Locality-Sensitive Hashing for Video Anomaly Detection-Reference-Cited by-同舟云学术

Learnable Locality-Sensitive Hashing for Video Anomaly Detection

Published:2023-02 Issue:2 Volume:33 Page:963-976
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Lu Yue¹^ORCID,Cao Congqi¹^ORCID,Zhang Yifan²^ORCID,Zhang Yanning¹^ORCID

Affiliation:

1. National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi’an, China

2. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China

Funder

National Natural Science Foundation of China

Young Talent Fund of Association for Science and Technology, Shaanxi, China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10036154/09882128.pdf?arnumber=9882128

Reference60 articles.

1. Graph Embedded Pose Clustering for Anomaly Detection

2. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

3. Cluster Attention Contrast for Video Anomaly Detection

4. Latent Space Autoregression for Novelty Detection

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