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Selective Prediction for Semantic Segmentation using Post-Hoc Confidence
  Estimation and Its Performance under Distribution Shift

Selective Prediction for Semantic Segmentation using Post-Hoc Confidence Estimation and Its Performance under Distribution Shift

16 February 2024
Bruno Laboissiere Camargos Borges
Bruno Machado Pacheco
Danilo Silva
ArXivPDFHTML

Papers citing "Selective Prediction for Semantic Segmentation using Post-Hoc Confidence Estimation and Its Performance under Distribution Shift"

3 / 3 papers shown
Title
What classifiers know what they don't?
What classifiers know what they don't?
Mohamed Ishmael Belghazi
David Lopez-Paz
22
6
0
13 Jul 2021
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
9,138
0
06 Jun 2015
1