Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks

12 November 2019

Papers citing "Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks"

17 / 17 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
Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Networks Edgar Heinert Stephan Tilgner Timo Palm Matthias Rottmann UQCV 43 0 0 17 Sep 2024
Decoupling of neural network calibration measures D. Wolf Prasannavenkatesh Balaji Alexander Braun Markus Ulrich UQCV 44 3 0 04 Jun 2024
MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification Laura Fieback Jakob Spiegelberg Hanno Gottschalk MLLM 62 5 0 29 May 2024
Uncertainty-weighted Loss Functions for Improved Adversarial Attacks on Semantic Segmentation Kira Maag Asja Fischer AAML SSeg 34 3 0 26 Oct 2023
Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation Kira Maag Asja Fischer AAML UQCV 21 4 0 22 May 2023
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects Kira Maag Robin Shing Moon Chan Svenja Uhlemeyer K. Kowol Hanno Gottschalk 35 19 0 05 Oct 2022
False Negative Reduction in Semantic Segmentation under Domain Shift using Depth Estimation Kira Maag Matthias Rottmann 26 3 0 07 Jul 2022
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 34 0 0 30 May 2022
False Positive Detection and Prediction Quality Estimation for LiDAR Point Cloud Segmentation Pascal Colling Matthias Rottmann L. Roese-Koerner Hanno Gottschalk 3DPC 30 3 0 29 Oct 2021
False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates Kira Maag UQCV 21 6 0 28 Jun 2021
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends Q. Rahman Peter Corke Feras Dayoub OOD 27 51 0 05 Jan 2021
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
Entropy Maximization and Meta Classification for Out-Of-Distribution Detection in Semantic Segmentation Robin Shing Moon Chan Matthias Rottmann Hanno Gottschalk OODD 37 149 0 09 Dec 2020
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection Marius Schubert Karsten Kahl Matthias Rottmann UQCV 26 24 0 04 Oct 2020
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 Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015