Hierarchical bilinear convolutional neural network for image classification-Reference-Cited by-同舟云学术

Hierarchical bilinear convolutional neural network for image classification

Published:2021-03-16 Issue:3 Volume:15 Page:197-207
ISSN:1751-9632
Container-title:IET Computer Vision
language:en
Short-container-title:IET comput. vis

Author:

Zhang Xiang¹,Tang Lei²,Luo Hangzai¹^ORCID,Zhong Sheng²,Guan Ziyu¹,Chen Long³,Zhao Chao¹,Peng Jinye¹,Fan Jianping⁴

Affiliation:

1. School of Information and Technology Northwest University Shaanxi 710127 China

2. Center of Innovations Xi'an Microelectron Technology Institute Shaanxi China

3. School of Communications and Information Engineering Xi'an University of Posts and Telecommunications Shaanxi 710061 China

4. Department of Computer Science UNC Charlotte NC 28223 USA

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cvi2.12023

Reference32 articles.

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2. Szegedy C. et al:Going deeper with convolutions. In:Proc. IEEE Conf. Computer Vision and Pattern Recognition Boston MA pp.1–9(2015)

3. HeZhang K.X. Ren S. Sun J.:Deep residual learning for image recognition. In:Proc. IEEE Conf. Computer Vision and Pattern Recognition Las Vegas NV USA pp.770–778(2016)

4. Ding X. et al.:Acnet: Strengthening the kernel skeletons for powerful cnn via asymmetric convolution blocks. In:Proc. IEEE Int. Conf. Computer Vision Seoul Korea pp.1911–1920(2019)

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