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Learn Robust Pedestrian Representation Within Minimal Modality Discrepancy for Visible-Infrared Person Re-Identification.

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Bibliographic Details
Title: Learn Robust Pedestrian Representation Within Minimal Modality Discrepancy for Visible-Infrared Person Re-Identification.
Authors: Liu, Yu-Jie1, Shao, Wen-Bin1, wbShao@s.upc.edu.cn, Sun, Xiao-Rui1
Source: Journal of Computer Science & Technology (10009000); Jun2022, Vol. 37 Issue 3, p641-651, 11p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 157529655
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Learn Robust Pedestrian Representation Within Minimal Modality Discrepancy for Visible-Infrared Person Re-Identification.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=157529655
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s11390-022-2146-1
    Languages:
      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 641
    Titles:
      – TitleFull: Learn Robust Pedestrian Representation Within Minimal Modality Discrepancy for Visible-Infrared Person Re-Identification.
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            NameFull: Liu, Yu-Jie
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            NameFull: Shao, Wen-Bin
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            NameFull: Sun, Xiao-Rui
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            – D: 01
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              Text: Jun2022
              Type: published
              Y: 2022
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              Value: 37
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              Value: 3
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            – TitleFull: Journal of Computer Science & Technology (10009000)
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