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Operationalizing Convolutional Neural Network Architectures for
  Prohibited Object Detection in X-Ray Imagery

Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery

10 October 2021
Thomas W. Webb
Neelanjan Bhowmik
Yona Falinie A. Gaus
T. Breckon
    ObjD
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Papers citing "Operationalizing Convolutional Neural Network Architectures for Prohibited Object Detection in X-Ray Imagery"

4 / 4 papers shown
Title
Performance Evaluation of Segment Anything Model with Variational
  Prompting for Application to Non-Visible Spectrum Imagery
Performance Evaluation of Segment Anything Model with Variational Prompting for Application to Non-Visible Spectrum Imagery
Yona Falinie A. Gaus
Neelanjan Bhowmik
Brian K. S. Isaac-Medina
T. Breckon
VLM
26
2
0
18 Apr 2024
AO-DETR: Anti-Overlapping DETR for X-Ray Prohibited Items Detection
AO-DETR: Anti-Overlapping DETR for X-Ray Prohibited Items Detection
Mingyuan Li
Tong Jia
Hao Wang
Bowen Ma
Shuyang Lin
Da Cai
Dongyue Chen
ViT
39
17
0
07 Mar 2024
Lost in Compression: the Impact of Lossy Image Compression on Variable
  Size Object Detection within Infrared Imagery
Lost in Compression: the Impact of Lossy Image Compression on Variable Size Object Detection within Infrared Imagery
Neelanjan Bhowmik
Jack W. Barker
Yona Falinie A. Gaus
T. Breckon
39
14
0
16 May 2022
On the Impact of Lossy Image and Video Compression on the Performance of
  Deep Convolutional Neural Network Architectures
On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures
Matt Poyser
Amir Atapour-Abarghouei
T. Breckon
43
38
0
28 Jul 2020
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