| Classification uncertainty of deep neural networks based on gradient information P Oberdiek, M Rottmann, H Gottschalk Artificial Neural Networks in Pattern Recognition: 8th IAPR TC3 Workshop …, 2018 | 67 | 2018 |
| Detection and retrieval of out-of-distribution objects in semantic segmentation P Oberdiek, M Rottmann, GA Fink Proceedings of the ieee/cvf conference on computer vision and pattern …, 2020 | 37 | 2020 |
| Uqgan: A unified model for uncertainty quantification of deep classifiers trained via conditional gans P Oberdiek, G Fink, M Rottmann Advances in Neural Information Processing Systems 35, 21371-21385, 2022 | 9 | 2022 |
| Exploring confidence measures for word spotting in heterogeneous datasets F Wolf, P Oberdiek, G Fink 2019 International Conference on Document Analysis and Recognition (ICDAR …, 2019 | 3 | 2019 |
| Assessing the reliability of deep neural networks P Oberdiek Dissertation, Dortmund, Technische Universität, 2023, 2023 | | 2023 |
Matthias RottmannUniversity of WuppertalPatvirtintas el. paštas math.uni-wuppertal.de
