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DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation from Stereo Imagery
13 September 2018
Junming Zhang
Katherine A. Skinner
Ram Vasudevan
Matthew Johnson-Roberson
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Papers citing
"DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation from Stereo Imagery"
17 / 17 papers shown
Title
SegStereo: Exploiting Semantic Information for Disparity Estimation
Guorun Yang
Hengshuang Zhao
Jianping Shi
Zhidong Deng
Jiaya Jia
69
339
0
31 Jul 2018
Pyramid Stereo Matching Network
Jia-Ren Chang
Yonghao Chen
3DPC
128
1,509
0
23 Mar 2018
Self-Supervised Learning for Stereo Matching with Self-Improving Ability
Yiran Zhong
Yuchao Dai
Hongdong Li
SSL
3DV
62
160
0
04 Sep 2017
Cascade Residual Learning: A Two-stage Convolutional Neural Network for Stereo Matching
Jiahao Pang
Wenxiu Sun
Jimmy S. J. Ren
Chengxi Yang
Qiong Yan
82
458
0
30 Aug 2017
End-to-End Learning of Geometry and Context for Deep Stereo Regression
Alex Kendall
H. Martirosyan
Saumitro Dasgupta
Peter Henry
Ryan Kennedy
Abraham Bachrach
Adam Bry
3DV
3DPC
MDE
88
1,337
0
13 Mar 2017
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Eddy Ilg
N. Mayer
Tonmoy Saikia
Margret Keuper
Alexey Dosovitskiy
Thomas Brox
3DPC
255
3,081
0
06 Dec 2016
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
665
12,033
0
04 Dec 2016
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Clément Godard
Oisin Mac Aodha
Gabriel J. Brostow
MDE
150
2,887
0
13 Sep 2016
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
11,644
0
06 Apr 2016
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue
Ravi Garg
B. V. Kumar
G. Carneiro
Ian Reid
3DV
MDE
121
1,530
0
16 Mar 2016
Unsupervised convolutional neural networks for motion estimation
A. Ahmadi
Ioannis Patras
59
102
0
22 Jan 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,426
0
10 Dec 2015
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
N. Mayer
Eddy Ilg
Philip Häusser
Philipp Fischer
Daniel Cremers
Alexey Dosovitskiy
Thomas Brox
3DPC
69
2,648
0
07 Dec 2015
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
Jure Zbontar
Yann LeCun
3DV
148
1,388
0
20 Oct 2015
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer
Alexey Dosovitskiy
Eddy Ilg
Philip Häusser
C. Hazirbas
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
3DPC
316
4,180
0
26 Apr 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
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
424
43,814
0
01 May 2014
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