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Learning Depth from Monocular Videos Using Synthetic Data: A
  Temporally-Consistent Domain Adaptation Approach

Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach

16 July 2019
Yipeng Mou
Biwei Huang
Huan Fu
Kayhan Batmanghelich
Anton van den Hengel
Dacheng Tao
    MDE
ArXivPDFHTML

Papers citing "Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach"

2 / 2 papers shown
Title
$S^3$Net: Semantic-Aware Self-supervised Depth Estimation with Monocular
  Videos and Synthetic Data
S3S^3S3Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data
Bin Cheng
Inderjot Singh Saggu
Raunak Shah
G. Bansal
Dinesh Bharadia
MDE
23
25
0
28 Jul 2020
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
197
1,708
0
06 Jun 2018
1