Completed Part Transformer for Person Re-Identification
文献类型：期刊论文
| 作者 | Zhang, Zhong1; He, Di1; Liu, Shuang1; Xiao, Baihua2 ; Durrani, Tariq S.3
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| 刊名 | IEEE TRANSACTIONS ON MULTIMEDIA
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| 出版日期 | 2024 |
| 卷号 | 26页码:2303-2313 |
| 关键词 | Person ReID transformer adaptive refined tokens |
| ISSN号 | 1520-9210 |
| DOI | 10.1109/TMM.2023.3294816 |
| 通讯作者 | Liu, Shuang(shuangliu.tjnu@gmail.com) |
| 英文摘要 | Recently, part information of pedestrian images has been demonstrated to be effective for person re-identification (ReID), but the part interaction is ignored when using Transformer to learn long-range dependencies. In this article, we propose a novel transformer network named Completed Part Transformer (CPT) for person ReID, where we design the part transformer layer to learn the completed part interaction. The part transformer layer includes the intra-part layer and the part-global layer, where they consider long-range dependencies from the aspects of the intra-part interaction and the part-global interaction, simultaneously. Furthermore, in order to overcome the limitation of fixed number of the patch tokens in the transformer layer, we propose the Adaptive Refined Tokens (ART) module to focus on learning the interaction between the informative patch tokens in the pedestrian image, which improves the discrimination of the pedestrian representation. Extensive experimental results on four person ReID datasets, i.e., MSMT17, Market1501, DukeMTMC-reID, and CUHK03, demonstrate that the proposed method achieves a new state-of-the-art performance, e.g., it achieves 68.0% mAP and 84.6% Rank-1 accuracy on MSMT17. |
| WOS关键词 | NETWORK |
| 资助项目 | National Natural Science Foundation of China |
| WOS研究方向 | Computer Science ; Telecommunications |
| 语种 | 英语 |
| WOS记录号 | WOS:001168330100027 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/58140]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_影像分析与机器视觉团队 |
| 通讯作者 | Liu, Shuang |
| 作者单位 | 1.Tianjin Normal Univ, Tianjin Key Lab Wireless Mobile Commun & Power Tra, Tianjin 300387, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 3.Univ Strathclyde, Dept Elect & Elect Engn, Glasgow G1 1XW, Scotland |
| 推荐引用方式 GB/T 7714 | Zhang, Zhong,He, Di,Liu, Shuang,et al. Completed Part Transformer for Person Re-Identification[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2024,26:2303-2313. |
| APA | Zhang, Zhong,He, Di,Liu, Shuang,Xiao, Baihua,&Durrani, Tariq S..(2024).Completed Part Transformer for Person Re-Identification.IEEE TRANSACTIONS ON MULTIMEDIA,26,2303-2313. |
| MLA | Zhang, Zhong,et al."Completed Part Transformer for Person Re-Identification".IEEE TRANSACTIONS ON MULTIMEDIA 26(2024):2303-2313. |
入库方式： OAI收割
来源：自动化研究所
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