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2001.01293
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Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-ray Security Imaging
Pattern Recognition (Pattern Recognit.), 2020
5 January 2020
S. Akçay
T. Breckon
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Papers citing
"Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-ray Security Imaging"
26 / 26 papers shown
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Optimizing Multispectral Object Detection: A Bag of Tricks and Comprehensive Benchmarks
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27 Nov 2024
Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery
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18 Apr 2024
Illicit object detection in X-ray images using Vision Transformers
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Ioannis Mademlis
Adamantia Anna Rebolledo Chrysochoou
Georgios Th. Papadopoulos
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318
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27 Mar 2024
Visual inspection for illicit items in X-ray images using Deep Learning
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Georgios Batsis
Adamantia Anna Rebolledo Chrysochoou
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236
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05 Oct 2023
Illicit item detection in X-ray images for security applications
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174
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ISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and Localization
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Detecting Anomalies using Generative Adversarial Networks on Images
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Krupa Bhayani
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K. Tiwari
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PIDray: A Large-scale X-ray Benchmark for Real-World Prohibited Item Detection
International Journal of Computer Vision (IJCV), 2022
Libo Zhang
Lutao Jiang
Ruyi Ji
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251
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Computer Vision on X-ray Data in Industrial Production and Security Applications: A Comprehensive Survey
IEEE Access (IEEE Access), 2022
M. Rafiei
Jenni Raitoharju
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193
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10 Nov 2022
Transferability Ranking of Adversarial Examples
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
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Guy Amit
Yuval Elovici
Yisroel Mirsky
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23 Aug 2022
Progressive GANomaly: Anomaly detection with progressively growing GANs
Djennifer K. Madzia-Madzou
Hugo J. Kuijf
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204
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Deep Learning-based Anomaly Detection on X-ray Images of Fuel Cell Electrodes
VISIGRAPP (VISIGRAPP), 2022
S. B. Jensen
T. Moeslund
S. J. Andreasen
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138
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A tomographic workflow to enable deep learning for X-ray based foreign object detection
Expert systems with applications (ESWA), 2022
Mathé T. Zeegers
Tristan van Leeuwen
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S. Coban
R. V. Liere
K. Batenburg
163
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A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items
Taimur Hassan
S. Akçay
Bennamoun
Salman Khan
Naoufel Werghi
270
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Tensor Pooling Driven Instance Segmentation Framework for Baggage Threat Recognition
Taimur Hassan
S. Akçay
Bennamoun
Salman Khan
Naoufel Werghi
189
47
0
22 Aug 2021
Unsupervised Anomaly Instance Segmentation for Baggage Threat Recognition
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Taimur Hassan
S. Akçay
Bennamoun
Salman Khan
Naoufel Werghi
244
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15 Jul 2021
One-class Steel Detector Using Patch GAN Discriminator for Visualising Anomalous Feature Map
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Junichiro Fujii
Sakura Fukami
143
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30 Jun 2021
PANDA : Perceptually Aware Neural Detection of Anomalies
IEEE International Joint Conference on Neural Network (IJCNN), 2021
Jack W. Barker
T. Breckon
139
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28 Apr 2021
Towards a category-extended object detector with limited data
Pattern Recognition (Pattern Recognit.), 2020
Bowen Zhao
Chen Chen
Xi Xiao
Shutao Xia
ObjD
374
3
0
28 Dec 2020
Background Adaptive Faster R-CNN for Semi-Supervised Convolutional Object Detection of Threats in X-Ray Images
J. Sigman
Gregory P. Spell
Kevin J. Liang
Lawrence Carin
ObjD
198
22
0
02 Oct 2020
Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion
Asian Conference on Computer Vision (ACCV), 2020
Taimur Hassan
S. Akçay
Bennamoun
Salman Khan
Naoufel Werghi
222
46
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
149
22
0
14 Apr 2020
Knife and Threat Detectors
David Noever
S. M. Noever
259
4
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