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  Learning Comprehensive Global Features in Person Re-identification: Ensuring Discriminativeness of more Local Regions

Xi, J., Huang, J., Zheng, S., Zhou, Q., Schiele, B., Hua, X.-S., et al. (2023). Learning Comprehensive Global Features in Person Re-identification: Ensuring Discriminativeness of more Local Regions. Pattern Recognition, 134: 109068. doi:10.1016/j.patcog.2022.109068.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000B-C6EA-E Version Permalink: https://hdl.handle.net/21.11116/0000-000E-2220-7
Genre: Journal Article
Latex : Learning comprehensive global features in person re-identification: {E}nsuring discriminativeness of more local regions

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 Creators:
Xi, Jiali1, Author
Huang, Jianqiang1, Author
Zheng, Shibao1, Author
Zhou, Qin1, Author
Schiele, Bernt2, Author                 
Hua, Xian-Sheng1, Author
Sun, Qianru1, Author           
Affiliations:
1External Organizations, ou_persistent22              
2Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society, ou_1116547              

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Language(s): eng - English
 Dates: 20222023
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.patcog.2022.109068
BibTex Citekey: Xi23
 Degree: -

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Title: Pattern Recognition
  Other : Pattern Recognit.
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 134 Sequence Number: 109068 Start / End Page: - Identifier: ISSN: 0031-3203
CoNE: https://pure.mpg.de/cone/journals/resource/954925431363