The generative adversarial networks and its application in machine vision-Reference-Cited by-同舟云学术

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The generative adversarial networks and its application in machine vision

Published:2019-12-11 Issue:2 Volume:16 Page:326-346
ISSN:1751-7575
Container-title:Enterprise Information Systems
language:en
Short-container-title:Enterprise Information Systems

Author:

Zhang Dongbo¹,Dongru Huang²,Kang Lanlan³^ORCID,Zhang Wei⁴

Affiliation:

1. Guangdong Key Laboratory of Modern Control Technology, Guangdong Institute of Intelligent Manufacturing, Guangzhou City, Guangdong Province, China

2. Director of Public Procurement Research Center, Guangdong University of Finance＆Economics, Guangzhou City, Guangdong Province, China

3. Department of Computer Engineering, JiangXi University of Science and Technology, Ganzhou, Jiangxi, China

4. Academy of Broadcasting Science, National Radio and Television Administration, Beijing, China

Funder

GDAS’ Project of Science and Technology Development

Publisher

Informa UK Limited

Subject

Information Systems and Management,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/17517575.2019.1701714

Reference53 articles.

1. Broiler weight estimation based on machine vision and artificial neural network

2. Bousmalis, K, N Silberman, and D Dohan, et al. “Unsupervised Pixel-level Domain Adaptation with Generative Adversarial Networks” Proceedings of The IEEE Conference on Computer Vision and Pattern Recognition. 2017: 3722–3731, Seattle, Washington.

3. A Secure Authentication Protocol for Internet of Vehicles

4. Attacks and solutions on a three-party password-based authenticated key exchange protocol for wireless communications

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