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Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation
  for Pixel-wise Regression

Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-wise Regression

14 August 2023
Anton Baumann
Thomas Roßberg
Michael Schmitt
    UQCV
ArXivPDFHTML

Papers citing "Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-wise Regression"

3 / 3 papers shown
Title
The Unreasonable Effectiveness of Deep Evidential Regression
The Unreasonable Effectiveness of Deep Evidential Regression
N. Meinert
J. Gawlikowski
Alexander Lavin
UQCV
EDL
177
35
0
20 May 2022
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
276
5,661
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
9,145
0
06 Jun 2015
1