Domain Generalization for Pedestrian Re-identification with Dual-Style Augmentation

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Artificial Intelligence | 更新时间：2026-02-09

- Domain Generalization for Pedestrian Re-identification with Dual-Style Augmentation
- “Related research has made new progress in the field of pedestrian re identification. Experts have proposed a multi-source domain generalization pedestrian re identification method based on dual style enhancement. Through style uncertainty enhancement, style memory module, and dual style loss function, the model's generalization ability in unknown domains is significantly improved, and its mAP is 0.6% to 1.9% higher than existing methods.”
- Software Guide Vol. 25, Issue 2, Pages: 1-7(2026)
- 作者机构：
  
  华南师范大学人工智能学院，广东广州 510631
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.241662
  CLC： TP391.41;TP18
- Received：23 December 2024，
  
  Published：26 February 2026
- 稿件说明：
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张铠镛,谢楚雯,张嘉慧等.基于双风格增强的域泛化行人重识别[J].软件导刊,2026,25(02):1-7.

ZHANG Kaiyong,XIE Chuwen,ZHANG Jiahui,et al.Domain Generalization for Pedestrian Re-identification with Dual-Style Augmentation[J].Software Guide,2026,25(02):1-7.
张铠镛,谢楚雯,张嘉慧等.基于双风格增强的域泛化行人重识别[J].软件导刊,2026,25(02):1-7. DOI： 10.11907/rjdk.241662.

ZHANG Kaiyong,XIE Chuwen,ZHANG Jiahui,et al.Domain Generalization for Pedestrian Re-identification with Dual-Style Augmentation[J].Software Guide,2026,25(02):1-7. DOI： 10.11907/rjdk.241662.

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