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Uncertainty Estimation in Deep Neural Networks for Point Cloud
  Segmentation in Factory Planning

Uncertainty Estimation in Deep Neural Networks for Point Cloud Segmentation in Factory Planning

13 December 2020
Christina Petschnigg
Juergen Pilz
    UQCV
    3DPC
ArXivPDFHTML

Papers citing "Uncertainty Estimation in Deep Neural Networks for Point Cloud Segmentation in Factory Planning"

4 / 4 papers shown
Title
Learning Uncertainty with Artificial Neural Networks for Improved
  Predictive Process Monitoring
Learning Uncertainty with Artificial Neural Networks for Improved Predictive Process Monitoring
Hans Weytjens
Jochen De Weerdt
19
17
0
13 Jun 2022
From a Point Cloud to a Simulation Model: Bayesian Segmentation and
  Entropy based Uncertainty Estimation for 3D Modelling
From a Point Cloud to a Simulation Model: Bayesian Segmentation and Entropy based Uncertainty Estimation for 3D Modelling
Christina Petschnigg
Markus Spitzner
Lucas Weitzendorf
J. Pilz
3DPC
3DV
23
3
0
04 Feb 2021
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
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,267
0
09 Jun 2012
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