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

Internet

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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