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GAM-Depth: Self-Supervised Indoor Depth Estimation Leveraging a
  Gradient-Aware Mask and Semantic Constraints

GAM-Depth: Self-Supervised Indoor Depth Estimation Leveraging a Gradient-Aware Mask and Semantic Constraints

22 February 2024
Anqi Cheng
Zhiyuan Yang
Haiyue Zhu
Kezhi Mao
    MDE
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Papers citing "GAM-Depth: Self-Supervised Indoor Depth Estimation Leveraging a Gradient-Aware Mask and Semantic Constraints"

3 / 3 papers shown
Title
Toward Practical Monocular Indoor Depth Estimation
Toward Practical Monocular Indoor Depth Estimation
Cho-Ying Wu
Jialiang Wang
Michael Hall
Ulrich Neumann
Shuochen Su
3DV
MDE
41
60
0
04 Dec 2021
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
1,687
0
06 Jun 2018
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
124
7,284
0
05 Jun 2015
1