Industrial monocular depth estimation, semantic segmentation, and 6D pose estimation using foundational depth models in a data-scarce setting
- DOI
- 10.1117/1.jei.35.3.031206
- Published
- 2026
- Container
- Journal of Electronic Imaging
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1117/1.jei.35.3.031206,
title = {Industrial monocular depth estimation, semantic segmentation, and 6D pose estimation using foundational depth models in a data-scarce setting},
author = {Nikola Pižurica and Bilal Karabagli and Igor Jovančević and Jean-José Orteu},
year = {2026},
journal = {Journal of Electronic Imaging},
doi = {10.1117/1.jei.35.3.031206},
url = {https://doi.org/10.1117/1.jei.35.3.031206}
}RIS
TY - JOUR TI - Industrial monocular depth estimation, semantic segmentation, and 6D pose estimation using foundational depth models in a data-scarce setting AU - Nikola Pižurica AU - Bilal Karabagli AU - Igor Jovančević AU - Jean-José Orteu PY - 2026 JO - Journal of Electronic Imaging DO - 10.1117/1.jei.35.3.031206 UR - https://doi.org/10.1117/1.jei.35.3.031206 ER -
APA
Pižurica, N., Karabagli, B., Jovančević, I., & Orteu, J. (2026). Industrial monocular depth estimation, semantic segmentation, and 6D pose estimation using foundational depth models in a data-scarce setting. Journal of Electronic Imaging. https://doi.org/10.1117/1.jei.35.3.031206
Source records
- hal · retrieved 2026-09-26T09:19:47.837Z