ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2205.08668
  4. Cited By
Learning Monocular Depth Estimation via Selective Distillation of Stereo
  Knowledge

Learning Monocular Depth Estimation via Selective Distillation of Stereo Knowledge

18 May 2022
Kyeongseob Song
Kuk-Jin Yoon
    MDE
ArXiv (abs)PDFHTML

Papers citing "Learning Monocular Depth Estimation via Selective Distillation of Stereo Knowledge"

37 / 37 papers shown
Title
On the uncertainty of self-supervised monocular depth estimation
On the uncertainty of self-supervised monocular depth estimation
Matteo Poggi
Filippo Aleotti
Fabio Tosi
S. Mattoccia
UQCVMDE
64
266
0
13 May 2020
Self-supervised Monocular Trained Depth Estimation using Self-attention
  and Discrete Disparity Volume
Self-supervised Monocular Trained Depth Estimation using Self-attention and Discrete Disparity Volume
A. Johnston
G. Carneiro
MDE
63
234
0
31 Mar 2020
MonSter: Awakening the Mono in Stereo
MonSter: Awakening the Mono in Stereo
Yotam Gil
Shay Elmalem
H. Haim
E. Marom
Raja Giryes
MDE
51
9
0
30 Oct 2019
Self-Supervised Monocular Depth Hints
Self-Supervised Monocular Depth Hints
Jamie Watson
Michael Firman
Gabriel J. Brostow
Daniyar Turmukhambetov
SSLMDE
91
251
0
19 Sep 2019
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth
  Estimation
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation
Jin Han Lee
Myung-Kyu Han
D. W. Ko
I. Suh
3DVMDE
131
682
0
24 Jul 2019
Similarity-Preserving Knowledge Distillation
Similarity-Preserving Knowledge Distillation
Frederick Tung
Greg Mori
124
979
0
23 Jul 2019
3D Packing for Self-Supervised Monocular Depth Estimation
3D Packing for Self-Supervised Monocular Depth Estimation
Vitor Campagnolo Guizilini
Rares Andrei Ambrus
Sudeep Pillai
Allan Raventos
Adrien Gaidon
SSL3DPCMDE
79
649
0
06 May 2019
Depth from Videos in the Wild: Unsupervised Monocular Depth Learning
  from Unknown Cameras
Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras
A. Gordon
Hanhan Li
Rico Jonschkowski
A. Angelova
MDE
73
366
0
10 Apr 2019
Learning monocular depth estimation infusing traditional stereo
  knowledge
Learning monocular depth estimation infusing traditional stereo knowledge
Fabio Tosi
Filippo Aleotti
Matteo Poggi
S. Mattoccia
MDE
61
218
0
08 Apr 2019
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth
  Estimation
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation
Shanshan Zhao
Huan Fu
Biwei Huang
Dacheng Tao
MDE
70
174
0
03 Apr 2019
Correlation Congruence for Knowledge Distillation
Correlation Congruence for Knowledge Distillation
Baoyun Peng
Xiao Jin
Jiaheng Liu
Shunfeng Zhou
Yichao Wu
Yu Liu
Dongsheng Li
Zhaoning Zhang
92
513
0
03 Apr 2019
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised
  Monocular Depth Prediction
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction
A. Wong
Byung-Woo Hong
Stefano Soatto
MDE
96
90
0
18 Mar 2019
Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge
  Distillation for Unsupervised Monocular Depth Estimation
Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation
Andrea Pilzer
Stéphane Lathuilière
N. Sebe
Elisa Ricci
MDE
78
135
0
11 Mar 2019
Attention-based Context Aggregation Network for Monocular Depth
  Estimation
Attention-based Context Aggregation Network for Monocular Depth Estimation
Yuru Chen
Haitao Zhao
Zhengwei Hu
48
91
0
29 Jan 2019
High Quality Monocular Depth Estimation via Transfer Learning
High Quality Monocular Depth Estimation via Transfer Learning
Ibraheem Alhashim
Peter Wonka
MDE3DV
64
460
0
31 Dec 2018
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task
  Consistency
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency
Yuliang Zou
Zelun Luo
Jia-Bin Huang
MDE
63
477
0
05 Sep 2018
Learning Monocular Depth by Distilling Cross-domain Stereo Networks
Learning Monocular Depth by Distilling Cross-domain Stereo Networks
Xiaoyang Guo
Hongsheng Li
Shuai Yi
Jimmy S. J. Ren
Xiaogang Wang
MDE
71
207
0
20 Aug 2018
Learning monocular depth estimation with unsupervised trinocular
  assumptions
Learning monocular depth estimation with unsupervised trinocular assumptions
Matteo Poggi
Fabio Tosi
S. Mattoccia
MDE
60
153
0
05 Aug 2018
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for
  Monocular Direct Sparse Odometry
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry
Nan Yang
Rui Wang
J. Stückler
Daniel Cremers
MDE
65
341
0
06 Jul 2018
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Biwei Huang
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
484
1,733
0
06 Jun 2018
Pyramid Stereo Matching Network
Pyramid Stereo Matching Network
Jia-Ren Chang
Yonghao Chen
3DPC
128
1,509
0
23 Mar 2018
Fusion of stereo and still monocular depth estimates in a
  self-supervised learning context
Fusion of stereo and still monocular depth estimates in a self-supervised learning context
Diogo Martins
K. G. Hecke
Guido de Croon
SSLMDE
33
22
0
20 Mar 2018
Self-Supervised Monocular Image Depth Learning and Confidence Estimation
Self-Supervised Monocular Image Depth Learning and Confidence Estimation
Long Chen
Wen Tang
N. John
SSLMDE
41
28
0
14 Mar 2018
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using
  3D Geometric Constraints
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints
R. Mahjourian
Martin Wicke
A. Angelova
MDE
102
729
0
15 Feb 2018
Learning Depth from Monocular Videos using Direct Methods
Learning Depth from Monocular Videos using Direct Methods
Chaoyang Wang
J. M. Buenaposada
Rui Zhu
Simon Lucey
MDE
98
583
0
01 Dec 2017
End-to-End Learning of Geometry and Context for Deep Stereo Regression
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
3DV3DPCMDE
88
1,336
0
13 Mar 2017
Semi-Supervised Deep Learning for Monocular Depth Map Prediction
Semi-Supervised Deep Learning for Monocular Depth Map Prediction
Yevhen Kuznietsov
J. Stückler
Bastian Leibe
MDESSL
147
672
0
09 Feb 2017
Unsupervised Monocular Depth Estimation with Left-Right Consistency
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
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
11,641
0
06 Apr 2016
Unsupervised CNN for Single View Depth Estimation: Geometry to the
  Rescue
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue
Ravi Garg
B. V. Kumar
G. Carneiro
Ian Reid
3DVMDE
121
1,530
0
16 Mar 2016
A Large Dataset to Train Convolutional Networks for Disparity, Optical
  Flow, and Scene Flow Estimation
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
67
2,648
0
07 Dec 2015
Stereo Matching by Training a Convolutional Neural Network to Compare
  Image Patches
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
Jure Zbontar
Yann LeCun
3DV
146
1,388
0
20 Oct 2015
Learning to Compare Image Patches via Convolutional Neural Networks
Learning to Compare Image Patches via Convolutional Neural Networks
Sergey Zagoruyko
N. Komodakis
SSL
92
1,436
0
14 Apr 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,312
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,479
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,590
0
01 Sep 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep
  Network
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
David Eigen
Christian Puhrsch
Rob Fergus
MDE3DPC3DV
239
4,063
0
09 Jun 2014
1