DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation

17 March 2023

Papers citing "DUDES: Deep Uncertainty Distillation using Ensembles for Semantic Segmentation"

7 / 7 papers shown

Title
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration D. Wolf Alexander Braun Markus Ulrich 89 0 0 18 Dec 2024
Efficient Multi-task Uncertainties for Joint Semantic Segmentation and Monocular Depth Estimation S. Landgraf Markus Hillemann Theodor Kapler Markus Ulrich UQCV 28 8 0 16 Feb 2024
Uncertainty estimates for semantic segmentation: providing enhanced reliability for automated motor claims handling Jan Küchler Daniel Kröll S. Schoenen Andreas Witte UQCV 40 1 0 17 Jan 2024
U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation S. Landgraf Markus Hillemann Kira Wursthorn Markus Ulrich SSeg UQCV 26 6 0 19 Jul 2023
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,572 0 17 Apr 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015