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Towards Better Data Exploitation in Self-Supervised Monocular Depth
  Estimation

Towards Better Data Exploitation in Self-Supervised Monocular Depth Estimation

11 September 2023
Jinfeng Liu
Lingtong Kong
J. Yang
W. Liu
    MDE
ArXivPDFHTML

Papers citing "Towards Better Data Exploitation in Self-Supervised Monocular Depth Estimation"

6 / 6 papers shown
Title
DevNet: Self-supervised Monocular Depth Learning via Density Volume
  Construction
DevNet: Self-supervised Monocular Depth Learning via Density Volume Construction
Kaichen Zhou
Lanqing Hong
Changhao Chen
Hang Xu
Chao Ye
Qingyong Hu
Zhenguo Li
MDE
81
30
0
14 Sep 2022
Self-Supervised Depth Estimation with Isometric-Self-Sample-Based
  Learning
Self-Supervised Depth Estimation with Isometric-Self-Sample-Based Learning
Geonho Cha
Hoyong Jang
Dongyoon Wee
8
1
0
20 May 2022
Excavating the Potential Capacity of Self-Supervised Monocular Depth
  Estimation
Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
Rui Peng
Ronggang Wang
Yawen Lai
Luyang Tang
Yangang Cai
MDE
53
72
0
26 Sep 2021
DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth
  and Ego-motion from Monocular Videos
DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular Videos
Hualie Jiang
Laiyan Ding
Zhenglong Sun
Rui Huang
MDE
96
20
0
03 Mar 2020
Deep High-Resolution Representation Learning for Visual Recognition
Deep High-Resolution Representation Learning for Visual Recognition
Jingdong Wang
Ke Sun
Tianheng Cheng
Borui Jiang
Chaorui Deng
...
Yadong Mu
Mingkui Tan
Xinggang Wang
Wenyu Liu
Bin Xiao
190
3,516
0
20 Aug 2019
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Mingming Gong
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
180
1,707
0
06 Jun 2018
1