Detecting and Learning the Unknown in Semantic Segmentation

17 February 2022

Papers citing "Detecting and Learning the Unknown in Semantic Segmentation"

5 / 5 papers shown

Title
Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Networks Edgar Heinert Stephan Tilgner Timo Palm Matthias Rottmann UQCV 32 0 0 17 Sep 2024
Uncertainty Quantification and Resource-Demanding Computer Vision Applications of Deep Learning Julian Burghoff Robin Shing Moon Chan Hanno Gottschalk Annika Muetze Tobias Riedlinger Matthias Rottmann Marius Schubert BDL 15 0 0 30 May 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,660 0 05 Dec 2016
Conditional Image Synthesis With Auxiliary Classifier GANs Augustus Odena C. Olah Jonathon Shlens GAN 224 3,189 0 30 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,134 0 06 Jun 2015