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://aclanthology.org/2025.swisstext-1.9/
DOI:
Bibkey:
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)
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PDF:
https://aclanthology.org/2025.swisstext-1.9.pdf