Detecting and Deciphering Damaged Medieval Armenian Inscriptions Using YOLO and Vision Transformers
- DOI
- 10.1007/978-3-031-70642-4_2
- Published
- 2024
- Container
- Lecture Notes in Computer Science
- Publisher
- Springer Nature Switzerland
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-031-70642-4_2,
title = {Detecting and Deciphering Damaged Medieval Armenian Inscriptions Using YOLO and Vision Transformers},
author = {Chahan Vidal-Gorène and Aliénor Decours-Perez},
year = {2024},
journal = {Lecture Notes in Computer Science},
doi = {10.1007/978-3-031-70642-4_2},
url = {https://doi.org/10.1007/978-3-031-70642-4_2}
}RIS
TY - JOUR TI - Detecting and Deciphering Damaged Medieval Armenian Inscriptions Using YOLO and Vision Transformers AU - Chahan Vidal-Gorène AU - Aliénor Decours-Perez PY - 2024 JO - Lecture Notes in Computer Science DO - 10.1007/978-3-031-70642-4_2 UR - https://doi.org/10.1007/978-3-031-70642-4_2 ER -
APA
Vidal-Gorène, C., & Decours-Perez, A. (2024). Detecting and Deciphering Damaged Medieval Armenian Inscriptions Using YOLO and Vision Transformers. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-031-70642-4_2
Source records
- crossref · retrieved 2026-09-25T04:32:58.567Z