| --- |
| license: cc-by-sa-4.0 |
| tags: |
| - epigraphy |
| - historical |
| - historical_document |
| - inscriptions |
| - icdar |
| - stone_inscriptions |
| --- |
| |
| # EpiSAM: Weights |
|
|
| [Project Website](https://ihdia.iiit.ac.in/episam/) |
|
|
| **For EpiSAM dataset refer to the project website.** |
|
|
| We provide two weights: |
| - `episam.pth` is the checkpoint for the segmentation module. |
| - 'binarizer.pth' is the checkpoint for the binarizer used in the self-prompting module. For more details on this refer to the [Shilalekhya Binarization](https://ihdia.iiit.ac.in/shilalekhya-binarization/) website. |
|
|
| Training code is provided in the [GitHub repository](https://github.com/ihdia/episam/) for EpiSAM. |
|
|
| ## Citation |
|
|
| If you use our dataset in your research, please cite the following papers: |
|
|
| ```bibtex |
| @InProceedings{10.1007/978-3-032-36039-7_18, |
| author="Sharma, Arnav |
| and Jena, Pratyush |
| and Joseph, Amal |
| and Sarvadevabhatla, Ravi Kiran", |
| title="EpiSAM: Character Segmentation in Challenging Stone Inscriptions", |
| booktitle="Document Analysis and Recognition -- ICDAR 2026", |
| year="2027", |
| publisher="Springer Nature Switzerland", |
| address="Cham", |
| pages="299--315", |
| isbn="978-3-032-36039-7" |
| } |
| |
| |
| @inproceedings{Jena_2025, |
| series={ICVGIP 2025}, |
| title={Unveiling Text in Challenging Stone Inscriptions: A Character-Context-Aware Patching Strategy for Binarization}, |
| url={http://dx.doi.org/10.1145/3774521.3774539}, |
| DOI={10.1145/3774521.3774539}, |
| booktitle={Proceedings of the Sixteen Indian Conference on Computer Vision, Graphics and Image Processing}, |
| publisher={ACM}, |
| author={Jena, Pratyush and Joseph, Amal and Sharma, Arnav and Sarvadevabhatla, Ravi Kiran}, |
| year={2025}, |
| month=Dec, |
| pages={1–9}, |
| collection={ICVGIP 2025} |
| } |
| ``` |
|
|
| ## Acknowledgement |
|
|
| We sincerely acknowledge **The Mythic Society Bengaluru** for providing the inscription images used in this work. These resources are part of the *Inscriptions 3D Digital Conservation Project*, an initiative aimed at preserving and digitizing valuable epigraphic heritage. |
|
|
| For more information about the project, please visit: |
|
|
| [Akshara Bhandara – Inscriptions 3D Digital Conservation Project](https://mythicsociety.github.io/AksharaBhandara/). |
|
|
| --- |
