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GCNDepth: Self-supervised Monocular Depth Estimation based on Graph
  Convolutional Network

GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network

13 December 2021
Armin Masoumian
Hatem A. Rashwan
Saddam Abdulwahab
Julián Cristiano
D. Puig
    MDE
ArXivPDFHTML

Papers citing "GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network"

7 / 7 papers shown
Title
Absorption-Based, Passive Range Imaging from Hyperspectral Thermal Measurements
Absorption-Based, Passive Range Imaging from Hyperspectral Thermal Measurements
U. D. Gallastegi
H. Rueda-Chacon
M. Stevens
V. Goyal
14
1
0
10 Aug 2023
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision
  Transformer
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer
Chaoqiang Zhao
Youming Zhang
Matteo Poggi
Fabio Tosi
Xianda Guo
Zheng Zhu
Guan Huang
Yang Tang
S. Mattoccia
ViT
MDE
34
174
0
06 Aug 2022
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from
  Monocular images
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images
Lei He
Jiwen Lu
Guanghui Wang
Shiyu Song
Jie Zhou
41
69
0
19 Jan 2021
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and
  Benchmark under Multiple Environments
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments
Hanjiang Hu
B. Yang
Zhijian Qiao
Shiqi Liu
Weiang Shi
Zuxin Liu
Wenhao Ding
Ding Zhao
Hesheng Wang
VLM
MDE
27
14
0
09 Nov 2020
Monocular Depth Estimation Based On Deep Learning: An Overview
Monocular Depth Estimation Based On Deep Learning: An Overview
Chaoqiang Zhao
Qiyu Sun
Chongzhen Zhang
Yang Tang
Feng Qian
MDE
60
251
0
14 Mar 2020
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
188
1,707
0
06 Jun 2018
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
253
3,236
0
24 Nov 2016
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