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Uncertainty Estimation for End-To-End Learned Dense Stereo Matching via
  Probabilistic Deep Learning

Uncertainty Estimation for End-To-End Learned Dense Stereo Matching via Probabilistic Deep Learning

10 February 2020
M. Mehltretter
    UQCV
    BDL
ArXivPDFHTML

Papers citing "Uncertainty Estimation for End-To-End Learned Dense Stereo Matching via Probabilistic Deep Learning"

1 / 1 papers shown
Title
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