On the Importance of Stereo for Accurate Depth Estimation: An Efficient
Semi-Supervised Deep Neural Network Approach

On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach

26 March 2018

Nikolai Smolyanskiy

Stan Birchfield

Papers citing "On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach"

16 / 16 papers shown

Title
Learning for Disparity Estimation through Feature Constancy Zhengfa Liang Yiliu Feng Yulan Guo Hengzhu Liu Wei Chen Linbo Qiao Li Zhou Jianfeng Zhang 3DV 115 30 0 04 Dec 2017
Self-Supervised Learning for Stereo Matching with Self-Improving Ability Yiran Zhong Yuchao Dai Hongdong Li SSL 3DV 37 160 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 42 456 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 65 1,324 0 13 Mar 2017
Semi-Supervised Deep Learning for Monocular Depth Map Prediction Yevhen Kuznietsov J. Stückler Bastian Leibe MDE SSL 76 669 0 09 Feb 2017
Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise Labeling Spyros Gidaris N. Komodakis 41 145 0 14 Dec 2016
Unsupervised Monocular Depth Estimation with Left-Right Consistency Clément Godard Oisin Mac Aodha Gabriel J. Brostow MDE 84 2,875 0 13 Sep 2016
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue Ravi Garg B. V. Kumar G. Carneiro Ian Reid 3DV MDE 64 1,527 0 16 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 711 192,638 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 30 2,625 0 07 Dec 2015
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter 144 5,502 0 23 Nov 2015
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches Jure Zbontar Yann LeCun 3DV 100 1,384 0 20 Oct 2015
Good Colour Maps: How to Design Them P. Kovesi 13 166 0 12 Sep 2015
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 238 7,361 0 05 Jun 2015
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields Fayao Liu Chunhua Shen Guosheng Lin Ian Reid MDE 73 1,196 0 26 Feb 2015
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network David Eigen Christian Puhrsch Rob Fergus MDE 3DPC 3DV 76 4,037 0 09 Jun 2014

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