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Published on 24 January 2025
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Zhang,M. (2025). Clothes-changing Person Re-identification Based on Spatial Consistency. Applied and Computational Engineering,133,68-73.
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Clothes-changing Person Re-identification Based on Spatial Consistency

Mai Zhang *,1,
  • 1 Shandong Artificial Intelligence Institute, Qilu University of Technology (Shandong Academy of Sciences)

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/2025.20602

Abstract

Address clothes-changing person recognition of other key is to extract the characteristics associated with human nature, for example, face, hair, body size and gait. At present, most of the research work mainly focuses on processing multi-modal information and fails to make full use of the information related to human nature in the original RGB images. In this paper, a viewpoint-based adversarial loss algorithm is proposed to mine visually relevant features from the original RGB images by punishing the predictive ability of the ReID model. A lot of experiments show that our model has achieved good results.

Keywords

clothes changing, viewpoint, adversarial

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Cite this article

Zhang,M. (2025). Clothes-changing Person Re-identification Based on Spatial Consistency. Applied and Computational Engineering,133,68-73.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 5th International Conference on Signal Processing and Machine Learning

Conference website: https://2025.confspml.org/
ISBN:978-1-83558-943-4(Print) / 978-1-83558-944-1(Online)
Conference date: 12 January 2025
Editor:Stavros Shiaeles
Series: Applied and Computational Engineering
Volume number: Vol.133
ISSN:2755-2721(Print) / 2755-273X(Online)

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