FEL-FRN: fusion ECA long-CLIP feature reconstruction network for few-shot classification

FEL-FRN: fusion ECA long-CLIP feature reconstruction network for few-shot classification

Abstract This paper focuses on the problem of the feature reconstruction network (FRN) facing difficulty in reconstructing the query set in fine-grained classification tasks when the objects in the support set have multiple attributes. To address this problem, we propose a model called FEL-FRN (fusi...

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Bibliographic Details
Main Authors: Yuanyuan Wang, Ao Zhang, Jiange Liu, Kexiao Wu, Hauwa Suleiman Abdullahi, Pinrong Lv, Yu Gao, Haiyan Zhang
Format: Article
Language:English
Published: SpringerOpen 2025-04-01
Series:Journal of Big Data
Subjects:
Fine-grained classification task
Feature map reconstruction
Attention mechanism
Few-shot learning
Online Access:https://doi.org/10.1186/s40537-025-01139-0
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https://doi.org/10.1186/s40537-025-01139-0

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