Revisiting Local Descriptors via Frequent Pattern Mining for Fine-Grained Image Retrieval

Fine-grained image retrieval aims at searching relevant images among fine-grained classes given a query. The main difficulty of this task derives from the small interclass distinction and the large intraclass variance of fine-grained images, posing severe challenges to the methods that only resort t...

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Detalles Bibliográficos
Autores principales: Zheng, Min, Geng, Yangliao, Li, Qingyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871172/
https://www.ncbi.nlm.nih.gov/pubmed/35205452
http://dx.doi.org/10.3390/e24020156

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871172/
https://www.ncbi.nlm.nih.gov/pubmed/35205452
http://dx.doi.org/10.3390/e24020156

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