Fine-Grained Classification via Hierarchical Feature Covariance Attention Module
Fine-Grained Visual Classification (FGVC) has consistently been challenging in various domains, such as aviation and animal breeds. It is mainly due to the FGVC’s criteria that differ with a considerably small range or subtle pattern differences. In the deep convolutional neural network,...
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Main Authors: | Yerim Jung, Nur Suriza Syazwany, Sujeong Kim, Sang-Chul Lee |
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Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10097470/ |
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