DW-ReID: Vision–Language Learning for Person Re-Identification Under Diverse Weather Conditions
Person re-identification (ReID) under diverse weather conditions remains a critical yet insufficiently explored problem. Most existing ReID approaches are developed and benchmarked on clear-weather datasets, resulting in significant performance degradation when deployed in rainy, snowy, or hazy envi...
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| Principais autores: | , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI AG
2026-04-01
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| Serier: | Sensors |
| Fag: | |
| Online adgang: | https://www.mdpi.com/1424-8220/26/7/2263 |
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