On Representation of 3D Rotation in the Context of Deep Learning
- DOI
- 10.48550/arxiv.2410.10350
- Published
- 2024
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- yes
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limited evidence Score 47/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2410.10350,
title = {On Representation of 3D Rotation in the Context of Deep Learning},
author = {Pravdová, Viktória and Gajdošech, Lukáš and Ali, Hassan and Kocur, Viktor},
year = {2024},
doi = {10.48550/arxiv.2410.10350},
url = {https://doi.org/10.48550/arxiv.2410.10350}
}RIS
TY - JOUR TI - On Representation of 3D Rotation in the Context of Deep Learning AU - Pravdová, Viktória AU - Gajdošech, Lukáš AU - Ali, Hassan AU - Kocur, Viktor PY - 2024 DO - 10.48550/arxiv.2410.10350 UR - https://doi.org/10.48550/arxiv.2410.10350 ER -
APA
Viktória, P., Lukáš, G., Hassan, A., & Viktor, K. (2024). On Representation of 3D Rotation in the Context of Deep Learning. https://doi.org/10.48550/arxiv.2410.10350
Source records
- datacite · retrieved 2026-09-26T06:51:02.114Z