A Framework for the Synthesis of X-Ray Security Inspection Images Based on Generative Adversarial Networks
Author:
Affiliation:
1. School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, Henan, China
2. Department of Electrical and Computer Engineering, California State Polytechnic University, Pomona, CA, USA
Funder
Henan Province Science and Technology Research Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10158706.pdf?arnumber=10158706
Reference38 articles.
1. GDXray: The Database of X-ray Images for Nondestructive Testing
2. An empirical study on evaluation metrics of generative adversarial networks;xu;arXiv 1806 07755,2018
3. KNN Matting
4. Occluded Prohibited Items Detection: An X-ray Security Inspection Benchmark and De-occlusion Attention Module
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