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

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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Bibliographic Details
Main Authors:	Yajie Yang, Yuxuan Feng, Li Zhu, Haitao Fu, Xin Pan, Chenlei Jin
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-11-01
Series:	Frontiers in Neurorobotics
Subjects:	few-shot classification fine-grained classification similarity measurement inter-class distinctiveness intra-class compactness
Online Access:	https://www.frontiersin.org/articles/10.3389/fnbot.2023.1301192/full

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