Appearance Meets Geometry: Deep Learning for Semantic Segmentation of Archaeological Fortification Masonry
By: Nils Schnorr and Thomas Leimkühler
Authors
Department of Classical Archaeology, Saarland University, Saarbrücken
DOI: https://doi.org/10.5334/jcaa.341 | Journal eISSN: 2514-8362
Language: English
Page range: 385 - 399
Submitted on: Sep 10, 2026
Accepted on: Sep 11, 2026
Published on: Oct 14, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Keywords:
© 2026 Nils Schnorr, Thomas Leimkühler, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.