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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 4
1242-1246

Influence function based method on cross-domain few-shot person Re-ID problem

Dai Xili
Wu Yang
Gong Haigang
Liu Ming
School of Computer Science & Engineering, University of Electronic Science & Technology of China, Chengdu 611731, China
DOI: 10.19734/j.issn.1001-3695.2021.07.0331

Abstract

In person re-identification(Re-ID) community, how to deploy a Re-ID system quickly in a new city to help the police catch a criminal is a challenging task. In general, the new cities don't have enough labelled data to train an excellent model, only relying on a tiny number of criminals' pictures provided by witnesses. This paper firstly formulated the scenario as a cross-domain few-shot problem and discussed the difference between conventional supervised Re-ID and unsupervised Re-ID. Then it introduced a re-weighting instance method based on influence function to guide the training procedure of the Re-ID model. Finally, it evaluated the proposed method on public datasets including Market, Duke, and CUHK. Extensive experimental results show that the method can effectively address the domain bias of different datasets and the absence of labelled data on the target dataset, achieving the state of the art.

Foundation Support

国家自然科学基金项目(61572113)
中央高校基金项目(XGBDFZ09)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.07.0331
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 4
Section: Technology of Graphic & Image
Pages: 1242-1246
Serial Number: 1001-3695(2022)04-048-1242-05

Publish History

[2021-11-22] Accepted Paper
[2022-04-05] Printed Article

Cite This Article

戴锡笠, 吴杨, 龚海刚, 等. 基于影响函数的跨领域小样本的行人重识别方法 [J]. 计算机应用研究, 2022, 39 (4): 1242-1246. (Dai Xili, Wu Yang, Gong Haigang, et al. Influence function based method on cross-domain few-shot person Re-ID problem [J]. Application Research of Computers, 2022, 39 (4): 1242-1246. )

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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