Image Recognition Accuracy, Number of Parameters and Computational Complexity Using Channel Reduction by Dimensional Compression and Attention Function

Author:

Li Zhufeng1ORCID,Yamauchi Hiroyuki1ORCID

Affiliation:

1. Fukuoka Institute of Technology, Japan

Publisher

ACM

Reference10 articles.

1. Yann Lecun , Leon Bottou , Y. Bengio , Patrick Haffne . 1998. “ Gradient-Based Learning Applied to Document Recognition ” at IEEE Yann Lecun, Leon Bottou, Y. Bengio, Patrick Haffne. 1998. “Gradient-Based Learning Applied to Document Recognition” at IEEE

2. Jiazhen Xi Hiroyuki Yamauchi 2021. “A Layer-Wise Ensemble Technique for Binary Neural Network”at International Journal of Pattern Recognition and Arti¯cial Intelligence Jiazhen Xi Hiroyuki Yamauchi 2021. “A Layer-Wise Ensemble Technique for Binary Neural Network”at International Journal of Pattern Recognition and Arti¯cial Intelligence

3. Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun. 2015. “Deep Residual Learning for Image Recognition” Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun. 2015. “Deep Residual Learning for Image Recognition”

4. Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu. 2019. “Squeeze-and-Excitation Networks” Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu. 2019. “Squeeze-and-Excitation Networks”

5. Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio. “Binarized Neural Networks” Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio. “Binarized Neural Networks”

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