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Deep EndoVO: A Recurrent Convolutional Neural Network (RCNN) based
  Visual Odometry Approach for Endoscopic Capsule Robots

Deep EndoVO: A Recurrent Convolutional Neural Network (RCNN) based Visual Odometry Approach for Endoscopic Capsule Robots

22 August 2017
Mehmet Turan
Yasin Almalioglu
Helder Araújo
E. Konukoglu
M. Sitti
ArXivPDFHTML

Papers citing "Deep EndoVO: A Recurrent Convolutional Neural Network (RCNN) based Visual Odometry Approach for Endoscopic Capsule Robots"

14 / 14 papers shown
Title
DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent
  Convolutional Neural Networks
DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks
Sen Wang
R. Clark
Hongkai Wen
A. Trigoni
43
781
0
25 Sep 2017
Sparse-then-Dense Alignment based 3D Map Reconstruction Method for
  Endoscopic Capsule Robots
Sparse-then-Dense Alignment based 3D Map Reconstruction Method for Endoscopic Capsule Robots
Mehmet Turan
Yusuf Yigit Pilavci
Ipek Ganiyusufoglu
Helder Araújo
E. Konukoglu
M. Sitti
22
38
0
29 Aug 2017
A fully dense and globally consistent 3D map reconstruction approach for
  GI tract to enhance therapeutic relevance of the endoscopic capsule robot
A fully dense and globally consistent 3D map reconstruction approach for GI tract to enhance therapeutic relevance of the endoscopic capsule robot
Mehmet Turan
Yusuf Yigit Pilavci
Redhwan Jamiruddin
Helder Araújo
E. Konukoglu
M. Sitti
37
22
0
18 May 2017
Magnetic-Visual Sensor Fusion based Medical SLAM for Endoscopic Capsule
  Robot
Magnetic-Visual Sensor Fusion based Medical SLAM for Endoscopic Capsule Robot
Mehmet Turan
A. Abdullah
Redhwan Jamiruddin
Helder Araújo
E. Konukoglu
M. Sitti
MedIm
41
11
0
17 May 2017
A Non-Rigid Map Fusion-Based RGB-Depth SLAM Method for Endoscopic
  Capsule Robots
A Non-Rigid Map Fusion-Based RGB-Depth SLAM Method for Endoscopic Capsule Robots
Mehmet Turan
Yasin Almalioglu
Helder Araújo
E. Konukoglu
M. Sitti
MedIm
27
70
0
15 May 2017
A Deep Learning Based 6 Degree-of-Freedom Localization Method for
  Endoscopic Capsule Robots
A Deep Learning Based 6 Degree-of-Freedom Localization Method for Endoscopic Capsule Robots
Mehmet Turan
Yasin Almalioglu
E. Konukoglu
M. Sitti
MedIm
34
32
0
15 May 2017
Image-based localization using LSTMs for structured feature correlation
Image-based localization using LSTMs for structured feature correlation
F. Walch
C. Hazirbas
Laura Leal-Taixé
Torsten Sattler
S. Hilsenbeck
Daniel Cremers
60
495
0
23 Nov 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
ORB-SLAM: a Versatile and Accurate Monocular SLAM System
ORB-SLAM: a Versatile and Accurate Monocular SLAM System
Raul Mur-Artal
José M.M. Montiel
Juan D. Tardós
57
6,364
0
03 Feb 2015
On the Performance of ConvNet Features for Place Recognition
On the Performance of ConvNet Features for Place Recognition
Niko Sünderhauf
Feras Dayoub
S. Shirazi
B. Upcroft
Michael Milford
62
532
0
17 Jan 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
804
149,474
0
22 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
299
43,511
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
920
99,991
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.1K
39,383
0
01 Sep 2014
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