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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 4
1228-1233

Unsupervised domain adaptive person re-identification based on reliability integration

Wen Rui1,2
Kong Guangqian1,2
Duan Xun1,2
1. State Key Laboratory of Public Big Data, Guiyang 550025, China
2. College of Computer Science & Technology, Guizhou University, Guiyang 550025, China
DOI: 10.19734/j.issn.1001-3695.2023.07.0358

Abstract

This paper proposed an unsupervised domain adaptation person re-identification base on reliability integration(UDA-RI) method aimed at alleviating the negative impact of noisy labels in the pseudo-labeling-based unsupervised domain adaptation person re-identification(UDA person ReID). This method consisted of two parts, such as progressive pseudo label refinement strategy and reliability integration strategy. The progressive pseudo label refinement strategy established a quantitative standard for measuring the uncertainty of pseudo labels and adopted gradual sampling to make the model more stable during training. The reliability integration strategy considered knowledge from different adaptation moments, allocated weights according to the reliability levels of models from different iterations, integrated the self-integrated models with different architectures, and used them as the final inference model. Experimental results show that compared with the advanced unsupervised domain adaptation person re-identification methods, the UDA-RI method achieves superior performance on Market1501, DukeMTMC-ReID, and MSMT17 datasets.

Foundation Support

国家自然科学基金资助项目(62266011)
贵州省基础研究计划项目(黔科合基础-ZK［2022］一般119)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.07.0358
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 4
Section: Technology of Graphic & Image
Pages: 1228-1233
Serial Number: 1001-3695(2024)04-039-1228-06

Publish History

[2023-11-02] Accepted Paper
[2024-04-05] Printed Article

Cite This Article

文锐, 孔广黔, 段迅. 基于可靠性集成的无监督域自适应行人重识别 [J]. 计算机应用研究, 2024, 41 (4): 1228-1233. (Wen Rui, Kong Guangqian, Duan Xun. Unsupervised domain adaptive person re-identification based on reliability integration [J]. Application Research of Computers, 2024, 41 (4): 1228-1233. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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