DW-ReID: Vision–Language Learning for Person Re-Identification Under Diverse Weather Conditions
to jointly train a weather encoder, an image restorer, and a ReID encoder in an end-to-end manner. The experimental results on two our contributed synthetic datasets consistently demonstrate the effectiveness and superior performance of the proposed DW-ReID method.
Authors
- B Wang
- Han Li (ORCID: https://orcid.org/0000-0002-1289-756X)
- Tao Zhu (ORCID: https://orcid.org/0000-0002-3244-6459)
- Lei Cai (ORCID: https://orcid.org/0009-0009-6020-1609)
- Jinquan Yang
Institutions
- Huaqiao University (CN)
- Zhaoqing University (CN)
- Guangzhou University (CN)
- Guilin University of Electronic Technology (CN)
Publication Details
- Journal
- Sensors
- Published
- 2026-04-06
- DOI
- https://doi.org/10.3390/s26072263
- Primary Topic
- Video Surveillance and Tracking Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Fujian Province
- Huaqiao University
- Natural Science Foundation of Guangxi Province