A Deep Self-Attention Residual Convolutional Neural Network for Automatic Recognition of Aluminum Profile Surface Defects
Author:
Affiliation:
1. Shenyang Ligong University,School of Automation and Electrical Engineering,Shenyang,China
2. University of Chinese Academy of Sciences,Beijing,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9718566/9718568/09718878.pdf?arnumber=9718878
Reference14 articles.
1. Two-Stream Convolutional Neural Network Based on Gradient Image for Aluminum Profile Surface Defects Classification and Recognition
2. Deep Residual Learning for Image Recognition
3. Attention is all you need;vaswani,2017
4. Batch normalization: Accelerating deep network training by reducing internal covariate shift;ioffe;International Conference on Machine Learning,2015
5. Adam Optimization Algorithm for Wide and Deep Neural Network
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