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VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization

VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization

21 February 2017
R. Clark
Sen Wang
Andrew Markham
A. Trigoni
Hongkai Wen
ArXivPDFHTML

Papers citing "VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization"

7 / 7 papers shown
Title
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning
  Problem
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem
R. Clark
Sen Wang
Hongkai Wen
Andrew Markham
A. Trigoni
43
348
0
29 Jan 2017
ShapeFit and ShapeKick for Robust, Scalable Structure from Motion
ShapeFit and ShapeKick for Robust, Scalable Structure from Motion
Thomas A. Goldstein
Paul Hand
Choongbum Lee
V. Voroninski
Stefano Soatto
26
53
0
07 Aug 2016
Modelling Uncertainty in Deep Learning for Camera Relocalization
Modelling Uncertainty in Deep Learning for Camera Relocalization
Alex Kendall
R. Cipolla
BDL
40
538
0
19 Sep 2015
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
249
747
0
06 Jun 2015
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
333
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
943
99,991
0
04 Sep 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition
CNN Features off-the-shelf: an Astounding Baseline for Recognition
A. Razavian
Hossein Azizpour
Josephine Sullivan
S. Carlsson
124
4,937
0
23 Mar 2014
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