Efficient Ensemble Model Generation for Uncertainty Estimation with
Bayesian Approximation in Segmentation

Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation

21 May 2020

Nassir Navab

Papers citing "Efficient Ensemble Model Generation for Uncertainty Estimation with Bayesian Approximation in Segmentation"

7 / 7 papers shown

Title
Uncertainty estimates for semantic segmentation: providing enhanced reliability for automated motor claims handling Jan Küchler Daniel Kröll S. Schoenen Andreas Witte UQCV 37 1 0 17 Jan 2024
Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates Kira Maag Matthias Rottmann Serin Varghese Fabian Hüger Peter Schlicht Hanno Gottschalk UQCV 22 12 0 14 Dec 2020
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification Matias Valdenegro-Toro UQCV 58 51 0 17 Oct 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,660 0 05 Dec 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,639 0 02 Nov 2015
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 197 745 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015