A Deep Learning Based 6 Degree-of-Freedom Localization Method for Endoscopic Capsule Robots

15 May 2017

Papers citing "A Deep Learning Based 6 Degree-of-Freedom Localization Method for Endoscopic Capsule Robots"

5 / 5 papers shown

Title
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
ORBSLAM-based Endoscope Tracking and 3D Reconstruction Nader Mahmoud Iñigo Cirauqui Alexandre Hostettler C. Doignon L. Soler J. Marescaux José M.M. Montiel 18 104 0 29 Aug 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 857 149,474 0 22 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 333 43,511 0 17 Sep 2014
Caffe: Convolutional Architecture for Fast Feature Embedding Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 198 14,703 0 20 Jun 2014