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On the uncertainty of self-supervised monocular depth estimation

On the uncertainty of self-supervised monocular depth estimation

13 May 2020
Matteo Poggi
Filippo Aleotti
Fabio Tosi
S. Mattoccia
    UQCV
    MDE
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Papers citing "On the uncertainty of self-supervised monocular depth estimation"

6 / 56 papers shown
Title
Approaches, Challenges, and Applications for Deep Visual Odometry:
  Toward to Complicated and Emerging Areas
Approaches, Challenges, and Applications for Deep Visual Odometry: Toward to Complicated and Emerging Areas
Ke Min Wang
Sai Ma
Junlan Chen
Fan Ren
13
81
0
06 Sep 2020
Real-time single image depth perception in the wild with handheld
  devices
Real-time single image depth perception in the wild with handheld devices
Filippo Aleotti
Giulio Zaccaroni
Luca Bartolomei
Matteo Poggi
Fabio Tosi
S. Mattoccia
MDE
27
41
0
10 Jun 2020
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity
  as a Surrogate
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate
Lu Mi
Hao Wang
Yonglong Tian
Hao He
Nir Shavit
UQCV
21
29
0
28 Sep 2019
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
185
1,707
0
06 Jun 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
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