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Discriminatively Unsupervised Learning Person Re-Identification via Considering Complicated Images

State-of-the-art purely unsupervised learning person re-ID methods first cluster all the images into multiple clusters and assign each clustered image a pseudo label based on the cluster result. Then, they construct a memory dictionary that stores all the clustered images, and subsequently train the...

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Detalles Bibliográficos
Autores principales:	Quan, Rong, Xu, Biaoyi, Liang, Dong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10057766/ https://www.ncbi.nlm.nih.gov/pubmed/36991970 http://dx.doi.org/10.3390/s23063259

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