Few-shot image classification using graph neural network with fine-grained feature descriptors-Reference-Cited by-同舟云学术

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Few-shot image classification using graph neural network with fine-grained feature descriptors

Published:2024-09 Issue: Volume: Page:128448
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Ganesan Priyanka,Jagatheesaperumal Senthil Kumar^ORCID,Hassan Mohammad Mehedi,Pupo Francesco^ORCID,Fortino Giancarlo

Publisher

Elsevier BV

Reference56 articles.

1. A survey: Deep learning for hyperspectral image classification with few labeled samples;Jia;Neurocomputing,2021

2. Convolutional neural networks for image classification;Bharadiya;Int. J. Innov. Sci. Res. Technol.,2023

3. Image classification with deep learning in the presence of noisy labels: A survey;Algan;Knowl.-Based Syst.,2021

4. Multireceptive field: An adaptive path aggregation graph neural framework for hyperspectral image classification;Zhang;Expert Syst. Appl.,2023

5. Deep hybrid: multi-graph neural network collaboration for hyperspectral image classification;Yao;Def. Technol.,2023

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