Detection of False Positive and False Negative Samples in Semantic Segmentation

8 December 2019

Papers citing "Detection of False Positive and False Negative Samples in Semantic Segmentation"

4 / 4 papers shown

Title
Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Networks Edgar Heinert Stephan Tilgner Timo Palm Matthias Rottmann UQCV 36 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 23 0 0 30 May 2022
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection Marius Schubert Karsten Kahl Matthias Rottmann UQCV 26 24 0 04 Oct 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015