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Similarity Regulation and Calibration Alignment for Weakly Supervised Text-Based Person Re-Identification.

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Title: Similarity Regulation and Calibration Alignment for Weakly Supervised Text-Based Person Re-Identification.
Authors: Fu, Ao1, fuao@cumt.edu.cn, Zhao, Jiaqi1, jiaqizhao@cumt.edu.cn, Zhou, Yong1, yzhou@cumt.edu.cn, Du, Wenliang1, wldu@cumt.edu.cn, Yao, Rui1, ruiyao@cumt.edu.cn, El Saddik, Abdulmotaleb2, elsaddik@uottawa.ca
Source: ACM Transactions on Multimedia Computing, Communications & Applications; Mar2025, Vol. 21 Issue 3, p1-19, 19p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Similarity Regulation and Calibration Alignment for Weakly Supervised Text-Based Person Re-Identification.
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        Value: 10.1145/3711861
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        Text: English
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        PageCount: 19
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      – TitleFull: Similarity Regulation and Calibration Alignment for Weakly Supervised Text-Based Person Re-Identification.
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              Text: Mar2025
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              Y: 2025
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