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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Detalles Bibliográficos

Principais autores:	Lei Cai, Yuying Liang, Bin Wang, Hexi Li, Jinquan Yang, Tao Zhu
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2026-04-01
Series:	Sensors
Assuntos:	person re-identification adverse weather vision–language learning
Acceso en liña:	https://www.mdpi.com/1424-8220/26/7/2263
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