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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, 01.06.2022-03.06.2022, 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 Dates: | 01.06.2022-03.06.2022 | ||||||
| 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 for Software Technology > Intelligent and Distributed Systems Institute for Software Technology | ||||||
| Deposited By: | Konen, Kai | ||||||
| Deposited On: | 02 Aug 2022 09:27 | ||||||
| Last Modified: | 02 Aug 2022 09:27 |
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