Data Augmentation Ensemble Module based on Natural Guidance for X-ray Prohibited Items Detection-Reference-Cited by-同舟云学术

Data Augmentation Ensemble Module based on Natural Guidance for X-ray Prohibited Items Detection

Published:2023-06-18 Issue: Volume: Page:
ISSN:
Container-title:2023 International Joint Conference on Neural Networks (IJCNN)
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Author:

He Jun¹,Zhong YangCai²,Sun Bo²,Zhang Yinghui³,Liu Yun⁴

Affiliation:

1. College of Education for the Future, School of Artificial Intelligence, Beijing Normal University,Zhuhai,China

2. School of Artificial Intelligence, Beijing Normal University,Zhuhai,China

3. College of Education for the Future, Beijing Normal University,Beijing,China

4. Beijing Energy Detection Techonlogy Inc,Beijing,China

Funder

National Nature Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191378.pdf?arnumber=10191378

Reference30 articles.

1. Enhanced color coding scheme for kinetic depth effect X-ray (KDEX) imaging

2. A Combinational Approach to the Fusion, De-noising and Enhancement of Dual-Energy X-Ray Luggage Images

3. Object Detection in Multi-view X-Ray Images

4. Threat image projection-an overview[J];mitckes;Imaging Robotics and Intelligent Systems Laboratory Dept of Electrical and Computer Engineering,2003

5. Towards Real-world X-ray Security Inspection: A High-Quality Benchmark And Lateral Inhibition Module For Prohibited Items Detection

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