elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Neural Orientation- and Object-Representations for Robust and Reliable Object Detection on Aerial Image Datasets

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.

[img] PDF
786kB

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/
Document Type:Conference or Workshop Item (Speech)
Title:Neural Orientation- and Object-Representations for Robust and Reliable Object Detection on Aerial Image Datasets
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Konen, KaiKai.Konen (at) dlr.dehttps://orcid.org/0000-0001-7957-4477
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

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.