SLANet-1M: A Lightweight and Efficient Model for Table Recognition with Minimal Computational Cost
Nguinwa Mbakop Dimitri Romaric, Andrea Petrucci, Simone Marinai, Jean Hennebert
- Anthology ID:
- 2025.swisstext-1.9
- Volume:
- Proceedings of the 10th edition of the Swiss Text Analytics Conference
- Month:
- May
- Year:
- 2025
- Address:
- Winterthur, Switzerland
- Editors:
- Jonathan Gerber, Mark Cieliebak, Don Tuggener, Manuela Hürlimann
- Venue:
- SwissText
- SIG:
- SIGSEM
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 89–102
- Language:
- URL:
- https://preview.aclanthology.org/old-master/2025.swisstext-1.9/
- DOI:
- Cite (ACL):
- Nguinwa Mbakop Dimitri Romaric, Andrea Petrucci, Simone Marinai, and Jean Hennebert. 2025. SLANet-1M: A Lightweight and Efficient Model for Table Recognition with Minimal Computational Cost. In Proceedings of the 10th edition of the Swiss Text Analytics Conference, pages 89–102, Winterthur, Switzerland. Association for Computational Linguistics.
- Cite (Informal):
- SLANet-1M: A Lightweight and Efficient Model for Table Recognition with Minimal Computational Cost (Romaric et al., SwissText 2025)
- PDF:
- https://preview.aclanthology.org/old-master/2025.swisstext-1.9.pdf