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Konen, Kai (2022) Neural Orientation- and Object-Representations for Robust and Reliable Object Detection on Aerial Image Datasets. 22nd Onera-DLR Aerospace Symposium, 2022-06-01 - 2022-06-03, Hamburg, Deutschland.
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Abstract
Untersuchung neuronaler Aktivitäten innerhalb künstlicher neuronaler Netze, welche mittels kontinuierlichen und diskontinuierlichen Rotations-Repräsentationen trainiert wurden.
| Item URL in elib: | https://elib.dlr.de/186810/ | ||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||
| Title: | Neural Orientation- and Object-Representations for Robust and Reliable Object Detection on Aerial Image Datasets | ||||||||
| Authors: |
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| Date: | June 2022 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | Yes | ||||||||
| Gold Open Access: | No | ||||||||
| In SCOPUS: | No | ||||||||
| In ISI Web of Science: | No | ||||||||
| Status: | Published | ||||||||
| Keywords: | Regression, Image Classification, SO(3), SO(2), Rotation Matrix, Rotation Representations | ||||||||
| Event Title: | 22nd Onera-DLR Aerospace Symposium | ||||||||
| Event Location: | Hamburg, Deutschland | ||||||||
| Event Type: | Other | ||||||||
| Event Start Date: | 1 June 2022 | ||||||||
| Event End Date: | 3 June 2022 | ||||||||
| Organizer: | DLR | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Space | ||||||||
| HGF - Program Themes: | Earth Observation | ||||||||
| DLR - Research area: | Raumfahrt | ||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||
| DLR - Research theme (Project): | R - Artificial Intelligence | ||||||||
| Location: | Köln-Porz | ||||||||
| Institutes and Institutions: | Institute of Software Technology > Intelligent and Distributed Systems Institute of Software Technology | ||||||||
| Deposited By: | Konen, Kai | ||||||||
| Deposited On: | 02 Aug 2022 09:27 | ||||||||
| Last Modified: | 24 Apr 2024 20:48 |
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