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DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for
  Monocular Depth Estimation

DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation

17 April 2020
Linda Wang
M. Famouri
A. Wong
    MDE
ArXiv (abs)PDFHTML

Papers citing "DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation"

3 / 3 papers shown
An Explicit Method for Fast Monocular Depth Recovery in Corridor
  Environments
An Explicit Method for Fast Monocular Depth Recovery in Corridor Environments
Yehao Liu
Ruoyan Xia
Xiaosu Xu
Zijian Wang
Yiqing Yao
Mingze Fan
MDE
250
0
0
14 Sep 2023
Towards Real-Time Monocular Depth Estimation for Robotics: A Survey
Towards Real-Time Monocular Depth Estimation for Robotics: A Survey
Xingshuai Dong
Matthew A. Garratt
S. Anavatti
H. Abbass
353
166
0
16 Nov 2021
Deep Learning-based High-precision Depth Map Estimation from Missing
  Viewpoints for 360 Degree Digital Holography
Deep Learning-based High-precision Depth Map Estimation from Missing Viewpoints for 360 Degree Digital Holography
Hakdong Kim
Heonyeong Lim
Minkyu Jee
Yurim Lee
Jisoo Jeong
Kyudam Choi
MinSung Yoon
Cheongwon Kim
3DV
180
3
0
09 Mar 2021
1
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