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Gütter, Jonas Aaron and Ulman, Hannah and Niebling, Julia (2022) Using Predictive Uncertainty for Cleaning Noisy Annotations. WAW Machine Learning 8, 2022-11-07 - 2022-11-09, Jena, Deutschland.
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Abstract
Predictive Uncertainty during model training can be used to assess wether a sample is correctly annotated or not. To see if this is also possible on remote sensing data, we applied the method on a building segmentation task.
| Item URL in elib: | https://elib.dlr.de/190240/ | ||||||||||||||||
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| Document Type: | Conference or Workshop Item (Poster) | ||||||||||||||||
| Title: | Using Predictive Uncertainty for Cleaning Noisy Annotations | ||||||||||||||||
| Authors: |
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| Date: | November 2022 | ||||||||||||||||
| Refereed publication: | No | ||||||||||||||||
| Open Access: | Yes | ||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||
| In SCOPUS: | No | ||||||||||||||||
| In ISI Web of Science: | No | ||||||||||||||||
| Status: | Published | ||||||||||||||||
| Keywords: | Deep Learning, Remote Sensing, segmentation, label noise | ||||||||||||||||
| Event Title: | WAW Machine Learning 8 | ||||||||||||||||
| Event Location: | Jena, Deutschland | ||||||||||||||||
| Event Type: | Workshop | ||||||||||||||||
| Event Start Date: | 7 November 2022 | ||||||||||||||||
| Event End Date: | 9 November 2022 | ||||||||||||||||
| Organizer: | DLR Institut für Datenwissenschaften Jena | ||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||
| HGF - Program: | Space | ||||||||||||||||
| HGF - Program Themes: | Space System Technology | ||||||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||||||
| DLR - Program: | R SY - Space System Technology | ||||||||||||||||
| DLR - Research theme (Project): | R - Basic research in the field of machine learning | ||||||||||||||||
| Location: | Jena | ||||||||||||||||
| Institutes and Institutions: | Institute of Data Science Institute of Data Science > Data Analysis and Intelligence | ||||||||||||||||
| Deposited By: | Gütter, Jonas Aaron | ||||||||||||||||
| Deposited On: | 17 Nov 2022 15:28 | ||||||||||||||||
| Last Modified: | 15 Jan 2025 14:06 |
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