An Unbiased Feature Estimation Network for Few-Shot Fine-Grained Image Classification

Few-shot fine-grained image classification (FSFGIC) aims to classify subspecies with similar appearances under conditions of very limited data. In this paper, we observe an interesting phenomenon: different types of image data augmentation techniques have varying effects on the performance of FSFGIC...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Jiale Wang, Jin Lu, Junpo Yang, Meijia Wang, Weichuan Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2024-12-01
Subjects:	few-shot fine-grained image classification data augmentation techniques unbiased feature estimation network
Online Access:	https://www.mdpi.com/1424-8220/24/23/7737