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Task-Oriented Local Feature Rectification Network for Few-Shot Image Classification

Few-shot image classification aims to classify unlabeled samples when only a small number of labeled samples are available for each class. Recently, local feature-based few-shot learning methods have made significant progress. However, existing methods often treat all local descriptors equally, with...

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Principais autores: Ping Li, Xiang Zhu
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-05-01
Serier:Mathematics
Fag:
few-shot learning
image classification
local feature
feature rectification
Online adgang:https://www.mdpi.com/2227-7390/13/9/1519
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