KhmerST: A Low-Resource Khmer Scene Text Detection and Recognition Benchmark
- DOI
- 10.1007/978-981-96-0917-8_22
- Published
- 2024-12-08
- Container
- Lecture Notes in Computer Science
- Publisher
- Springer Nature Singapore
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-981-96-0917-8_22,
title = {KhmerST: A Low-Resource Khmer Scene Text Detection and Recognition Benchmark},
author = {Vannkinh Nom and Souhail Bakkali and Muhammad Muzzamil Luqman and Mickaël Coustaty and Jean-Marc Ogier},
year = {2024},
journal = {Lecture Notes in Computer Science},
doi = {10.1007/978-981-96-0917-8_22},
url = {https://doi.org/10.1007/978-981-96-0917-8_22}
}RIS
TY - JOUR TI - KhmerST: A Low-Resource Khmer Scene Text Detection and Recognition Benchmark AU - Vannkinh Nom AU - Souhail Bakkali AU - Muhammad Muzzamil Luqman AU - Mickaël Coustaty AU - Jean-Marc Ogier PY - 2024 JO - Lecture Notes in Computer Science DO - 10.1007/978-981-96-0917-8_22 UR - https://doi.org/10.1007/978-981-96-0917-8_22 ER -
APA
Nom, V., Bakkali, S., Luqman, M. M., Coustaty, M., & Ogier, J. (2024). KhmerST: A Low-Resource Khmer Scene Text Detection and Recognition Benchmark. Lecture Notes in Computer Science. https://doi.org/10.1007/978-981-96-0917-8_22
Source records
- crossref · retrieved 2026-11-10T12:09:41.808Z