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Studying Illustrations in Manuscripts: An Efficient Deep-Learning Approach
Yoav Evron, Michal Bar-Asher Siegal, Michael Fire, 2025. arXiv.
A deep-learning approach for finding and classifying illustrations in manuscripts with little labelled data.
What it's used for here
The emerging-methods survey lists it among tools for working with the manuscript's drawings.
Cited by on this site 1 record
1 methods surveys
SRCMathematics
Cite it
Evron, Y., Siegal, M. B. A., & Fire, M. (2025). Studying Illustrations in Manuscripts: An Efficient Deep-Learning Approach. arXiv. https://arxiv.org/abs/2601.05269
@article{evron2025studying,
author = {Evron, Yoav and Siegal, Michal Bar-Asher and Fire, Michael},
title = {Studying Illustrations in Manuscripts: An Efficient Deep-Learning Approach},
journal = {arXiv},
year = {2025},
url = {https://arxiv.org/abs/2601.05269}
}TY - GEN TI - Studying Illustrations in Manuscripts: An Efficient Deep-Learning Approach AU - Evron, Yoav AU - Siegal, Michal Bar-Asher AU - Fire, Michael PY - 2025 JO - arXiv UR - https://arxiv.org/abs/2601.05269 ER -
Evron, Yoav et al.. “Studying Illustrations in Manuscripts: An Efficient Deep-Learning Approach.” arXiv (2025).