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1807.08931
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CReaM: Condensed Real-time Models for Depth Prediction using Convolutional Neural Networks
24 July 2018
Andrew Spek
Thanuja Dharmasiri
Tom Drummond
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Papers citing
"CReaM: Condensed Real-time Models for Depth Prediction using Convolutional Neural Networks"
5 / 5 papers shown
Title
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
EMPNet: Neural Localisation and Mapping Using Embedded Memory Points
Gil Avraham
Yan Zuo
Thanuja Dharmasiri
Tom Drummond
21
17
0
31 Jul 2019
Double Refinement Network for Efficient Indoor Monocular Depth Estimation
N. Durasov
Mikhail Romanov
Valeriya Bubnova
P. Bogomolov
Anton Konushin
MDE
3DV
25
10
0
20 Nov 2018
ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
Raul Mur-Artal
Juan D. Tardós
204
5,375
0
20 Oct 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
235
2,056
0
07 Jun 2016
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