Few-Shot Fine-Grained Image Classification: A Comprehensive Review

Few-Shot Fine-Grained Image Classification: A Comprehensive Review

Few-shot fine-grained image classification (FSFGIC) methods refer to the classification of images (e.g., birds, flowers, and airplanes) belonging to different subclasses of the same species by a small number of labeled samples. Through feature representation learning, FSFGIC methods can make better...

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Bibliographic Details
Main Authors:	Jie Ren, Changmiao Li, Yaohui An, Weichuan Zhang, Changming Sun
Format:	Article
Language:	English
Published:	MDPI AG 2024-03-01
Series:	AI
Subjects:	few-shot fine-grained image classification feature representation learning meta-learning metric-learning
Online Access:	https://www.mdpi.com/2673-2688/5/1/20

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