A Person Re-Identification Method Incorporating Multigrain Features and Human Body Knowledge-Reference-Cited by-同舟云学术

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A Person Re-Identification Method Incorporating Multigrain Features and Human Body Knowledge

Published:2023-06-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Joint Conference on Neural Networks (IJCNN)
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Author:

Wang Jiayang¹,Wan Zheng²,Wang Chao³,Du Wenwen⁴

Affiliation:

1. School of Information, Management, Jiangxi University of Finance and Economics, Jiangxi Agriculture University,Nanchang,China

2. School of VR Industry, Jiangxi University of Finance and Economics,Nanchang,China

3. School of Computer Science Economics, Wuhan University,Wuhan,China

4. School of Information Engineering, Nanchang University,Nanchang,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10190990/10190992/10192044.pdf?arnumber=10192044

Reference50 articles.

1. Beyond Part Models: Person Retrieval with Refined Part Pooling (and A Strong Convolutional Baseline)

2. Attribute-restricted latent topic model for person re-identification

3. Densely Semantically Aligned Person Re-Identification

4. Multi-level Factorisation Net for Person Re-identification

5. Part-Aligned Bilinear Representations for Person Re-identification

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1. International law in the China–Russian energy partnership: mapping the partnership-based relational approach;Journal of International Economic Law;2023-12-19

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