Multiple Feature Reweight DenseNet for Image Classification
Recent network research has demonstrated that the performance of convolutional neural networks can be improved by introducing a learning block that captures spatial correlations. In this paper, we propose a novel multiple feature reweight DenseNet (MFR-DenseNet) architecture. The MFR-DenseNet improv...
Main Authors: | Ke Zhang, Yurong Guo, Xinsheng Wang, Jinsha Yuan, Qiaolin Ding |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8611344/ |
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