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Region Deformer Networks for Unsupervised Depth Estimation from
  Unconstrained Monocular Videos

Region Deformer Networks for Unsupervised Depth Estimation from Unconstrained Monocular Videos

26 February 2019
Haofei Xu
Jianmin Zheng
Jianfei Cai
Juyong Zhang
    MDE
ArXivPDFHTML

Papers citing "Region Deformer Networks for Unsupervised Depth Estimation from Unconstrained Monocular Videos"

5 / 5 papers shown
Title
Revisiting Gradient-based Uncertainty for Monocular Depth Estimation
Julia Hornauer
Amir El-Ghoussani
Vasileios Belagiannis
UQCV
57
0
0
09 Feb 2025
Unifying Flow, Stereo and Depth Estimation
Unifying Flow, Stereo and Depth Estimation
Haofei Xu
Jing Zhang
Jianfei Cai
Hamid Rezatofighi
F. I. F. Richard Yu
Dacheng Tao
Andreas Geiger
MDE
31
193
0
10 Nov 2022
Fine-grained Semantics-aware Representation Enhancement for
  Self-supervised Monocular Depth Estimation
Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation
Hyun-Joo Jung
Eunhyeok Park
S. Yoo
MDE
36
108
0
19 Aug 2021
$S^3$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
Distilled Semantics for Comprehensive Scene Understanding from Videos
Distilled Semantics for Comprehensive Scene Understanding from Videos
Fabio Tosi
Filippo Aleotti
Pierluigi Zama Ramirez
Matteo Poggi
Samuele Salti
Luigi Di Stefano
S. Mattoccia
MDE
19
76
0
31 Mar 2020
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