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Learning Pseudo Front Depth for 2D Forward-Looking Sonar-based Multi-view Stereo
30 July 2022
Yusheng Wang
Yonghoon Ji
Hiroshi Tsuchiya
Hajime Asama
Atsushi Yamashita
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Papers citing
"Learning Pseudo Front Depth for 2D Forward-Looking Sonar-based Multi-view Stereo"
7 / 7 papers shown
Title
Fusing Concurrent Orthogonal Wide-aperture Sonar Images for Dense Underwater 3D Reconstruction
J. McConnell
John D. Martin
Brendan Englot
27
29
0
20 Jul 2020
MVSNet: Depth Inference for Unstructured Multi-view Stereo
Yao Yao
Zixin Luo
Shiwei Li
Tian Fang
Long Quan
MDE
3DV
107
1,218
0
07 Apr 2018
DeepMVS: Learning Multi-view Stereopsis
Po-Han Huang
Kevin Blackburn-Matzen
Johannes Kopf
Narendra Ahuja
Jia-Bin Huang
3DV
81
469
0
02 Apr 2018
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
83
1,332
0
13 Mar 2017
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
61
2,644
0
07 Dec 2015
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
Jure Zbontar
Yann LeCun
3DV
134
1,386
0
20 Oct 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,099
0
18 May 2015
1