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Matthias Rottmann

Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection

Dec 21, 2022
Tobias Riedlinger, Marius Schubert, Karsten Kahl, Hanno Gottschalk, Matthias Rottmann

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* 17 pages, 12 figures, 9 tables

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Semi-supervised domain adaptation with CycleGAN guided by a downstream task loss

Aug 18, 2022
Annika Mütze, Matthias Rottmann, Hanno Gottschalk

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* 11pages, 11figures

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Automated Detection of Label Errors in Semantic Segmentation Datasets via Deep Learning and Uncertainty Quantification

Jul 13, 2022
Matthias Rottmann, Marco Reese

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False Negative Reduction in Semantic Segmentation under Domain Shift using Depth Estimation

Jul 07, 2022
Kira Maag, Matthias Rottmann

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Detecting and Learning the Unknown in Semantic Segmentation

Feb 17, 2022
Robin Chan, Svenja Uhlemeyer, Matthias Rottmann, Hanno Gottschalk

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* 37 pages, 7 figures, chapter in Deep Neural Networks and Data for Automated Driving

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