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Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular
  Depth Estimation

Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation

10 December 2022
L. Talker
Aviad Cohen
E. Yosef
Alexandra Dana
Michael Dinerstein
ArXivPDFHTML

Papers citing "Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation"

4 / 4 papers shown
Title
The Devil is in the Edges: Monocular Depth Estimation with Edge-aware
  Consistency Fusion
The Devil is in the Edges: Monocular Depth Estimation with Edge-aware Consistency Fusion
Pengzhi Li
Yikang Ding
Haohan Wang
Chengshuai Tang
Zhiheng Li
MDE
42
1
0
30 Mar 2024
Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening
  Problem
Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem
Xingyu Chen
Ruonan Zhang
Ji Jiang
Yan Wang
Ge Li
Thomas H. Li
MQ
MDE
40
27
0
02 Oct 2022
Semi-supervised Multi-task Learning for Semantics and Depth
Semi-supervised Multi-task Learning for Semantics and Depth
Yufeng Wang
Yi-Hsuan Tsai
Wei-Chih Hung
Wenrui Ding
Shuo Liu
Ming-Hsuan Yang
29
18
0
14 Oct 2021
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
212
19,444
0
21 Nov 2016
1