Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities

1 November 2018

Matthias Rottmann

Pascal Colling

Thomas-Paul Hack

Robin Shing Moon Chan

Papers citing "Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities"

25 / 25 papers shown

Title
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art Youssef Shoeb Azarm Nowzad Hanno Gottschalk UQCV 90 2 0 04 Mar 2025
Uncertainty and Prediction Quality Estimation for Semantic Segmentation via Graph Neural Networks Edgar Heinert Stephan Tilgner Timo Palm Matthias Rottmann UQCV 51 0 0 17 Sep 2024
MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification Laura Fieback Jakob Spiegelberg Hanno Gottschalk MLLM 67 5 0 29 May 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
SQA-SAM: Segmentation Quality Assessment for Medical Images Utilizing the Segment Anything Model Yizhe Zhang Shuo Wang Tao Zhou Qingquan Dou Danny Chen 43 1 0 15 Dec 2023
Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation Shyam Nandan Rai Fabio Cermelli Barbara Caputo Carlo Masone ISeg ViT 33 5 0 08 Sep 2023
WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis Yiye Chen Yunzhi Lin Ruinian Xu Patricio A. Vela OODD 37 3 0 14 Mar 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 47 19 0 05 Oct 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models Chen Liang Wenguan Wang Jiaxu Miao Yi Yang VLM 46 117 0 05 Oct 2022
Beyond Voxel Prediction Uncertainty: Identifying brain lesions you can trust Benjamin Lambert Florence Forbes Senan Doyle A. Tucholka M. Dojat UQCV MedIm 24 6 0 22 Sep 2022
False Negative Reduction in Semantic Segmentation under Domain Shift using Depth Estimation Kira Maag Matthias Rottmann 34 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
See Yourself in Others: Attending Multiple Tasks for Own Failure Detection Bo Sun Jiaxu Xing Hermann Blum Roland Siegwart Cesar Cadena 41 12 0 06 Oct 2021
Post-hoc Models for Performance Estimation of Machine Learning Inference Xuechen Zhang Samet Oymak Jiasi Chen UQCV 23 4 0 06 Oct 2021
False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates Kira Maag UQCV 21 6 0 28 Jun 2021
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation Robin Shing Moon Chan Krzysztof Lis Svenja Uhlemeyer Hermann Blum S. Honari Roland Siegwart Pascal Fua Mathieu Salzmann Matthias Rottmann UQCV 24 136 0 30 Apr 2021
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends Q. Rahman Peter Corke Feras Dayoub OOD 44 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
YOdar: Uncertainty-based Sensor Fusion for Vehicle Detection with Camera and Radar Sensors K. Kowol Matthias Rottmann S. Bracke Hanno Gottschalk UQCV 19 37 0 07 Oct 2020
MetaDetect: Uncertainty Quantification and Prediction Quality Estimates for Object Detection Marius Schubert Karsten Kahl Matthias Rottmann UQCV 29 24 0 04 Oct 2020
Time-Dynamic Estimates of the Reliability of Deep Semantic Segmentation Networks Kira Maag Matthias Rottmann Hanno Gottschalk 29 34 0 12 Nov 2019
Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation Robin Shing Moon Chan Matthias Rottmann Fabian Hüger Peter Schlicht Hanno Gottschalk SSeg 15 40 0 24 Jan 2019
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,167 0 06 Jun 2015