Open AccessBayesian Deep Learning with Monte Carlo Dropout for Qualification of Semantic Segmentation
Author(s) -
Clément Dechesne,
Pierre Lassalle,
Sébastien Lefèvre
Publication year - 2021
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - dropout (neural networks) , computer science , monte carlo method , artificial intelligence , bayesian probability , machine learning , segmentation , deep learning , statistics , mathematics
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