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Investigation Into Deep Learning Methods for a Formal Analysis of Ancient Sculptures Cover

Investigation Into Deep Learning Methods for a Formal Analysis of Ancient Sculptures

Open Access
|Oct 2026

Authors

Birgit Bergmann

birgit.bergmann@archaeologie.uni-freiburg.de

Department of Archaeologies (Classical Archaeology), University of Freiburg, 79085 Freiburg

Daniel Matuszczyk

daniel.matuszczyk@tu-dortmund.de

Department of Computer Science VII, Technical University Dortmund, 44227 Dortmund

Denis Fisseler

denis.fisseler@tu-dortmund.de

Department of Computer Science VII, Technical University Dortmund, 44227 Dortmund

Thoralf Schröder

thoralf.schroeder@uni-koeln.de

Institute of Archaeology (Classical Archaeology), University of Cologne, 50937 Cologne

Nele Schröder-Griebel

Nele.Schroeder@ka.fak12.uni-muenchen.de

Museum of Plaster Casts of Ancient Art, 80333 Munich

Frank Weichert

frank.weichert@tu-dortmund.de

Department of Computer Science VII, Technical University Dortmund, 44227 Dortmund
DOI: https://doi.org/10.5334/jcaa.238 | Journal eISSN: 2514-8362
Language: English
Page range: 400 - 417
Submitted on: Aug 4, 2025
Accepted on: May 28, 2026
Published on: Oct 16, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services

© 2026 Birgit Bergmann, Daniel Matuszczyk, Denis Fisseler, Thoralf Schröder, Nele Schröder-Griebel, Frank Weichert, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.