Feature Correlation Residual Network for Fine-Grained Image Recognition

Feature Correlation Residual Network for Fine-Grained Image Recognition

Learning discriminative features for visually similar classes is crucial for fine-grained image recognition tasks. Bilinear pooling models use the outer product of embedding features to enhance the representation capability and achieve favorable classification performance. However, these models caus...

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Bibliographic Details
Main Authors: Jiazhen Xu, Yantao Wei, Wei Deng
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Fine-grained image recognition
deep learning
feature correlation
Online Access:https://ieeexplore.ieee.org/document/9272311/

Internet

https://ieeexplore.ieee.org/document/9272311/

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