Multi-view Object Detection Using Epipolar Constraints within Cluttered X-ray Security Imagery-Reference-Cited by-同舟云学术

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Multi-view Object Detection Using Epipolar Constraints within Cluttered X-ray Security Imagery

Published:2021-01-10 Issue: Volume: Page:
ISSN:
Container-title:2020 25th International Conference on Pattern Recognition (ICPR)
language:
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Author:

Isaac-Medina Brian K. S.,Willcocks Chris G.,Breckon Toby P.

Funder

Mexican Council of Science and Technology (CONACyT)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9411940/9411911/09413007.pdf?arnumber=9413007

Cited by 9 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. An automated detection model of threat objects for X-Ray baggage inspection based on modified encoder-decoder model;Nondestructive Testing and Evaluation;2024-01-26

2. Multi‐Scale Feature Attention‐DEtection TRansformer: Multi‐Scale Feature Attention for security check object detection;IET Computer Vision;2024-01-16

3. Toward Dual-View X-Ray Baggage Inspection: A Large-Scale Benchmark and Adaptive Hierarchical Cross Refinement for Prohibited Item Discovery;IEEE Transactions on Information Forensics and Security;2024

4. Improving instrument detection for a robotic scrub nurse using multi-view voting;International Journal of Computer Assisted Radiology and Surgery;2023-08-02

5. Atomic number prior guided network for prohibited items detection from heavily cluttered X-ray imagery;Frontiers in Physics;2023-01-05

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