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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
J. Sigman
Gregory P. Spell
Kevin J. Liang
Lawrence Carin
    ObjD
ArXiv (abs)PDFHTML

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

23 / 23 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
303
30,156
0
01 Mar 2022
Object Detection as a Positive-Unlabeled Problem
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
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
Toward Automatic Threat Recognition for Airport X-ray Baggage Screening
  with Deep Convolutional Object Detection
Toward Automatic Threat Recognition for Airport X-ray Baggage Screening with Deep Convolutional Object Detection
Kevin J. Liang
J. Sigman
Gregory P. Spell
D. Strellis
William Chang
Felix Liu
Tejas Mehta
Lawrence Carin
52
37
0
13 Dec 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
59
33
0
25 Sep 2019
On Target Shift in Adversarial Domain Adaptation
On Target Shift in Adversarial Domain Adaptation
Yitong Li
M. Murias
Samantha Major
G. Dawson
David E. Carlson
OOD
47
30
0
15 Mar 2019
Optimal Transport for Multi-source Domain Adaptation under Target Shift
Optimal Transport for Multi-source Domain Adaptation under Target Shift
I. Redko
Nicolas Courty
Rémi Flamary
D. Tuia
OOD
40
143
0
13 Mar 2018
Domain Adaptive Faster R-CNN for Object Detection in the Wild
Domain Adaptive Faster R-CNN for Object Detection in the Wild
Yuhua Chen
Wen Li
Daniel Gehrig
Dengxin Dai
Luc Van Gool
OODObjD
117
1,307
0
08 Mar 2018
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
VLM
214
2,411
0
10 Jul 2017
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLMObjD
183
15,660
0
25 Dec 2016
Speed/accuracy trade-offs for modern convolutional object detectors
Speed/accuracy trade-offs for modern convolutional object detectors
Jonathan Huang
V. Rathod
Chen Sun
Menglong Zhu
Anoop Korattikara Balan
...
Ian S. Fischer
Z. Wojna
Yang Song
S. Guadarrama
Kevin Patrick Murphy
3DH3DV
114
2,573
0
30 Nov 2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks
R-FCN: Object Detection via Region-based Fully Convolutional Networks
Jifeng Dai
Yi Li
Kaiming He
Jian Sun
ObjD
190
5,651
0
20 May 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,673
0
06 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,774
0
10 Dec 2015
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjDBDL
266
29,931
0
08 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
759
37,116
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
AIMatObjD
547
62,534
0
04 Jun 2015
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GANOOD
438
9,531
0
28 May 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
326
25,114
0
30 Apr 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
471
43,368
0
11 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,622
0
04 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
444
43,907
0
01 May 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
321
26,247
0
11 Nov 2013
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