Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery

20 November 2019

Papers citing "Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery"

8 / 8 papers shown

Title
Illicit item detection in X-ray images for security applications Georgios Batsis Ioannis Mademlis Georgios Th. Papadopoulos 32 5 0 03 May 2023
Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery Thomas W. Webb Neelanjan Bhowmik Yona Falinie A. Gaus T. Breckon ObjD 36 11 0 10 Oct 2021
On the impact of using X-ray energy response imagery for object detection via Convolutional Neural Networks Neelanjan Bhowmik Yona Falinie A. Gaus T. Breckon 21 8 0 27 Aug 2021
Unsupervised Anomaly Instance Segmentation for Baggage Threat Recognition Taimur Hassan S. Akçay Bennamoun Salman Khan Naoufel Werghi 29 33 0 15 Jul 2021
Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion Taimur Hassan S. Akçay Bennamoun Salman Khan Naoufel Werghi 32 39 0 28 Sep 2020
Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from X-ray Scans Taimur Hassan S. Akçay Bennamoun Salman Khan Naoufel Werghi 25 19 0 14 Apr 2020
On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery Qian Wang Neelanjan Bhowmik T. Breckon 29 10 0 27 Mar 2020
Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-ray Security Imaging S. Akçay T. Breckon 33 157 0 05 Jan 2020