Improving Deep Learning-based Object Detection Algorithms for Omnidirectional Images by Simulated Data

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: Chemnitz, Technische Universität Chemnitz, Dissertation, 2024

Keyword: Neuronales Netz
Maschinelles Lernen
Objekterkennung
Merkmalsextraktion
Deep learning
Künstliche Intelligenz
Deep learning
Synthetische Daten
Neuronales Netz
Datenschutz
Bildverarbeitung
Simulation

Event: Veröffentlichung

(where): Chemnitz

(who): Technische Universität Chemnitz

(when): 2024

Creator: Scheck, Tobias

Contributor: Hirtz, Gangolf
Hirtz, Gangolf
Masrur, Alejandro

URN: urn:nbn:de:bsz:ch1-qucosa2-928045

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:57 PM CET

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Associated

Scheck, Tobias
Hirtz, Gangolf
Masrur, Alejandro
Technische Universität Chemnitz

Time of origin

2024

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Improving Deep Learning-based Object Detection Algorithms for Omnidirectional Images by Simulated Data

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Other Objects (12)

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