Background Adaptive Faster R-CNN for Semi-Supervised Convolutional
Object Detection of Threats in X-Ray Images

Background Adaptive Faster R-CNN for Semi-Supervised Convolutional Object Detection of Threats in X-Ray Images

2 October 2020

Gregory P. Spell

Lawrence Carin

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Papers citing "Background Adaptive Faster R-CNN for Semi-Supervised Convolutional Object Detection of Threats in X-Ray Images"

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Title
Optimizing Multispectral Object Detection: A Bag of Tricks and Comprehensive Benchmarks Chen Zhou Peng Cheng Sihang Li Yize Zhang Yibo Yan Xiaojun Jia Yanyan Xu Kaidi Wang Xiaochun Cao 136 0 0 27 Nov 2024
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability Nathan Inkawhich Kevin J. Liang Binghui Wang Matthew J. Inkawhich Lawrence Carin Yiran Chen AAML 70 90 0 29 Apr 2020
Object Detection as a Positive-Unlabeled Problem Yuewei Yang Kevin J. Liang Lawrence Carin 72 39 0 11 Feb 2020
Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-ray Security Imaging S. Akçay T. Breckon 90 160 0 05 Jan 2020