Convolutional Attention Network with Maximizing Mutual Information for Fine-Grained Image Classification

Convolutional Attention Network with Maximizing Mutual Information for Fine-Grained Image Classification

Fine-grained image classification has seen a great improvement benefiting from the advantages of deep learning techniques. Most fine-grained image classification methods focus on extracting discriminative features and combining the global features with the local ones. However, the accuracy is limite...

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Bibliographic Details
Main Authors: Fenglei Wang, Hao Zhou, Shuohao Li, Jun Lei, Jun Zhang
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Symmetry
Subjects:
image classification
mutual information
fine-grained
attention network
Online Access:https://www.mdpi.com/2073-8994/12/9/1511

Internet

https://www.mdpi.com/2073-8994/12/9/1511

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