X-Ray Baggage Inspection With Computer Vision: A Survey-Reference-Cited by-同舟云学术

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X-Ray Baggage Inspection With Computer Vision: A Survey

Published:2020 Issue: Volume:8 Page:145620-145633
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mery Domingo^ORCID,Saavedra Daniel^ORCID,Prasad Mukesh

Funder

Fondecyt from CONICYT–Chile

UTS KTP Visiting Fellow Program 2019 R1

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8948470/09162101.pdf?arnumber=9162101

Cited by 53 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Judgments of Difficulty (JODs) While Observing an Automated System Support the Media Equation and Unique Agent Hypotheses;Human Factors: The Journal of the Human Factors and Ergonomics Society;2024-08-18

2. Using ArcFace Loss Function and Softmax with Temperature Activation Function for Improvement in X-ray Baggage Image Classification Quality;Mathematics;2024-08-18

3. Automated Baggage Size Check: Real-Time Object Measurement Using Aruco Markers in OpenCV;2024 9th International Conference on Mechatronics Engineering (ICOM);2024-08-13

4. In-depth analysis of automated baggage inspection using simulated X-ray images of 3D models;Neural Computing and Applications;2024-07-31

5. Illicit object detection in X-ray images using Vision Transformers;2024 5th International Conference in Electronic Engineering, Information Technology & Education (EEITE);2024-05-29

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