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On the Evaluation of Prohibited Item Classification and Detection in
  Volumetric 3D Computed Tomography Baggage Security Screening Imagery

On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery

27 March 2020
Qian Wang
Neelanjan Bhowmik
T. Breckon
ArXivPDFHTML

Papers citing "On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Computed Tomography Baggage Security Screening Imagery"

19 / 19 papers shown
Title
A Reference Architecture for Plausible Threat Image Projection (TIP)
  Within 3D X-ray Computed Tomography Volumes
A Reference Architecture for Plausible Threat Image Projection (TIP) Within 3D X-ray Computed Tomography Volumes
Qian Wang
Najla Megherbi Bouallagu
T. Breckon
50
10
0
15 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
134
42,038
0
03 Dec 2019
Evaluating the Transferability and Adversarial Discrimination of
  Convolutional Neural Networks for Threat Object Detection and Classification
  within X-Ray Security Imagery
Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery
Yona Falinie A. Gaus
Neelanjan Bhowmik
S. Akçay
T. Breckon
28
53
0
20 Nov 2019
On the Impact of Object and Sub-component Level Segmentation Strategies
  for Supervised Anomaly Detection within X-ray Security Imagery
On the Impact of Object and Sub-component Level Segmentation Strategies for Supervised Anomaly Detection within X-ray Security Imagery
Neelanjan Bhowmik
Yona Falinie A. Gaus
S. Akçay
Jack W. Barker
T. Breckon
17
23
0
19 Nov 2019
The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks
  for Prohibited Item Detection Using Real and Synthetically Composited X-ray
  Imagery
The Good, the Bad and the Ugly: Evaluating Convolutional Neural Networks for Prohibited Item Detection Using Real and Synthetically Composited X-ray Imagery
Neelanjan Bhowmik
Qian Wang
Yona Falinie A. Gaus
Marcin Szarek
T. Breckon
35
33
0
25 Sep 2019
Med3D: Transfer Learning for 3D Medical Image Analysis
Med3D: Transfer Learning for 3D Medical Image Analysis
Sihong Chen
Kai Ma
Yefeng Zheng
MedIm
45
454
0
01 Apr 2019
An Approach for Adaptive Automatic Threat Recognition Within 3D Computed
  Tomography Images for Baggage Security Screening
An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening
Qian Wang
K. Ismail
T. Breckon
24
17
0
25 Mar 2019
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation
  Supervision for Medical Object Detection
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection
Paul F. Jaeger
Simon A. A. Kohl
S. Bickelhaupt
Fabian Isensee
T. Kuder
H. Schlemmer
Klaus H. Maier-Hein
SSeg
78
194
0
21 Nov 2018
Frustum PointNets for 3D Object Detection from RGB-D Data
Frustum PointNets for 3D Object Detection from RGB-D Data
C. Qi
Wen Liu
Chenxia Wu
Hao Su
Leonidas Guibas
3DPC
118
2,257
0
22 Nov 2017
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Yin Zhou
Oncel Tuzel
3DPC
89
3,700
0
17 Nov 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH
3DPC
3DV
PINN
381
14,191
0
02 Dec 2016
Generative and Discriminative Voxel Modeling with Convolutional Neural
  Networks
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
39
578
0
15 Aug 2016
Volumetric and Multi-View CNNs for Object Classification on 3D Data
Volumetric and Multi-View CNNs for Object Classification on 3D Data
C. Qi
Hao Su
Matthias Niessner
Angela Dai
Mengyuan Yan
Leonidas Guibas
3DPC
3DV
145
1,564
0
12 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.1K
192,638
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
397
27,231
0
02 Dec 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
519
36,643
0
08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
376
61,900
0
04 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
588
149,474
0
22 Dec 2014
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
194
26,091
0
11 Nov 2013
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