Autonomous Localization of X-Ray Baggage Threats via Weakly Supervised Learning-Reference-Cited by-同舟云学术

Autonomous Localization of X-Ray Baggage Threats via Weakly Supervised Learning

Published:2024-04 Issue:4 Volume:20 Page:6563-6572
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Velayudhan Divya¹^ORCID,Ahmed Abdelfatah¹^ORCID,Hassan Taimur²^ORCID,Gour Neha¹^ORCID,Owais Muhammad¹^ORCID,Bennamoun Mohammed³^ORCID,Damiani Ernesto¹^ORCID,Werghi Naoufel¹^ORCID

Affiliation:

1. Center of Secure Cyber-Physical Systems (C2PS), and the Department of Computer Sciences, Khalifa University, Abu Dhabi, UAE

2. Department of Electrical, Computer, and Biomedical Engineering, Abu Dhabi University, Abu Dhabi, UAE

3. Department of Computer Science and Software Engineering, The University of Western Australia, Perth, WA, Australia

Funder

Khalifa University

Advanced Technology Research Center Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9424/10492621/10401259.pdf?arnumber=10401259

Reference30 articles.

1. Aviation security amid evolving threats;Juniac,2019

2. Detecting Prohibited Items in X-Ray Images: a Contour Proposal Learning Approach

3. Recent Advances in Baggage Threat Detection: A Comprehensive and Systematic Survey

4. SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images

5. An evaluation of region based object detection strategies within X-ray baggage security imagery

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