Learning discriminative representation with global and fine‐grained features for cross‐view gait recognition-Reference-Cited by-同舟云学术

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Learning discriminative representation with global and fine‐grained features for cross‐view gait recognition

Published:2021-05-31 Issue: Volume: Page:
ISSN:2468-2322
Container-title:CAAI Transactions on Intelligence Technology
language:en
Short-container-title:CAAI trans. intell. technol.

Author:

Xiao Jing¹^ORCID,Yang Huan¹,Xie Kun¹,Zhu Jia²,Zhang Ji³

Affiliation:

1. School of Computer Science South China Normal University Guangzhou Guangdong China

2. Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province Zhejiang Normal University Jinhua Zhejiang China

3. School of Sciences University of Southern Queensland Toowoomba Qld Australia

Publisher

Institution of Engineering and Technology (IET)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cit2.12051

Reference49 articles.

1. Harmonious Attention Network for Person Re-identification

2. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition;Zhang K.,2019

3. Proceedings of the AAAI Conference on Artificial Intelligence;Chao H.,2019

4. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition;Fan C.,2020

5. Proceedings of the European Conference on Computer Vision (ECCV);Sun Y.,2018

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