Few-Shot Fine-Grained Image Classification with Residual Reconstruction Network Based on Feature Enhancement

In recent years, few-shot fine-grained image classification has shown great potential in addressing data scarcity and distinguishing highly similar categories. However, existing unidirectional reconstruction methods, while enhancing inter-class differences, fail to effectively suppress intra-class v...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Ying Liu, Haibin Zhang, Weidong Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2025-09-01
Subjects:	few-shot learning fine-grained image classification feature reconstruction attention mechanisms
Online Access:	https://www.mdpi.com/2076-3417/15/18/9953