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MobileXNet: An Efficient Convolutional Neural Network for Monocular
  Depth Estimation

MobileXNet: An Efficient Convolutional Neural Network for Monocular Depth Estimation

24 November 2021
Xingshuai Dong
Matthew A. Garratt
S. Anavatti
H. Abbass
ArXivPDFHTML

Papers citing "MobileXNet: An Efficient Convolutional Neural Network for Monocular Depth Estimation"

5 / 5 papers shown
Title
Depth Estimation and Image Restoration by Deep Learning from Defocused
  Images
Depth Estimation and Image Restoration by Deep Learning from Defocused Images
Saqib Nazir
Lorenzo Vaquero
M. Mucientes
V. Brea
D. Coltuc
3DV
MDE
34
11
0
21 Feb 2023
Lightweight Monocular Depth Estimation with an Edge Guided Network
Lightweight Monocular Depth Estimation with an Edge Guided Network
Xingshuai Dong
Matthew A. Garratt
S. Anavatti
H. Abbass
Junyu Dong
MDE
25
2
0
29 Sep 2022
Deep Ordinal Regression Network for Monocular Depth Estimation
Deep Ordinal Regression Network for Monocular Depth Estimation
Huan Fu
Biwei Huang
Chaohui Wang
Kayhan Batmanghelich
Dacheng Tao
MDE
200
1,708
0
06 Jun 2018
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile
  Applications
NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications
Tien-Ju Yang
Andrew G. Howard
Bo Chen
Xiao Zhang
Alec Go
Mark Sandler
Vivienne Sze
Hartwig Adam
90
515
0
09 Apr 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,567
0
17 Apr 2017
1