Few-shot Fine-grained Image Classification Based on Neighborhood Fusion and Feature Enhancement

Currently fine-grained image classification faces challenges such as labeling difficulties, scarce sample numbers, and subtle category differences. To address these issues, a few-shot fine-grained image classification method based on neighborhood fusion and feature enhancement is proposed. First, th...

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Detalles Bibliográficos

Autor principal:	WEN Lang, GOU Guanglei, BAI Ruifeng, MIAO Wanyu
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Editorial Office of Computer Engineering 2026-02-01
Colección:	Jisuanji gongcheng
Materias:	few-shot learning|fine-grained image classification|frequency domain learning|feature enhancement|attention mechanism|metric learning
Acceso en línea:	https://www.ecice06.com/fileup/1000-3428/PDF/20260214.pdf
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