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Feature fusion network based on few-shot fine-grained classification

The objective of few-shot fine-grained learning is to identify subclasses within a primary class using a limited number of labeled samples. However, many current methodologies rely on the metric of singular feature, which is either global or local. In fine-grained image classification tasks, where t...

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Detalles Bibliográficos
Autores principales: Yang, Yajie, Feng, Yuxuan, Zhu, Li, Fu, Haitao, Pan, Xin, Jin, Chenlei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665847/
https://www.ncbi.nlm.nih.gov/pubmed/38023453
http://dx.doi.org/10.3389/fnbot.2023.1301192