A Principal Component Analysis-Based Feature Optimization Network for Few-Shot Fine-Grained Image Classification

Feature map reconstruction networks (FRN) have demonstrated significant potential by leveraging feature reconstruction. However, the typical process of FRN gives rise to two notable issues. First, FRN exhibits high sensitivity to noise, particularly ambient noise, which can lead to substantial recon...

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मुख्य लेखकों:	Meijia Wang, Boyuan Zheng, Guochao Wang, Junpo Yang, Jin Lu, Weichuan Zhang
स्वरूप:	Artigo
भाषा:	Inglês
प्रकाशित:	MDPI AG 2025-03-01
श्रृंखला:	Mathematics
विषय:	few-shot fine-grained image classification principal component analysis principal component analysis-based feature optimization network
ऑनलाइन पहुंच:	https://www.mdpi.com/2227-7390/13/7/1098
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