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  ---
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  license: mit
 
 
 
 
 
 
 
 
 
 
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  ---
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@@ -44,4 +54,27 @@ The paper is available [here](https://aclanthology.org/2025.swisstext-1.9/).
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  | **Training Data** | PubTabNet + SynthTabNet (all subsets) |
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  | **Metrics** | S-TEDS: 99.36 on SynthTabNet and 97.36 on PubTabNet |
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: mit
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+ datasets:
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+ - dimtri009/SLANet-1M_dataset
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+ language:
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+ - en
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+ base_model:
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+ - PaddlePaddle/SLANet
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+ tags:
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+ - table-recognition
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+ - table-structure-recognition
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+ - slanet-1m
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  ---
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  | **Training Data** | PubTabNet + SynthTabNet (all subsets) |
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  | **Metrics** | S-TEDS: 99.36 on SynthTabNet and 97.36 on PubTabNet |
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+ ---
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+
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+ Please cite us:
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+
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+ ```
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+ @inproceedings{romaric-etal-2025-slanet,
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+ title = "{SLAN}et-1{M}: A Lightweight and Efficient Model for Table Recognition with Minimal Computational Cost",
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+ author = "Romaric, Nguinwa Mbakop Dimitri and
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+ Petrucci, Andrea and
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+ Marinai, Simone and
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+ Hennebert, Jean",
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+ editor = {Gerber, Jonathan and
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+ Cieliebak, Mark and
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+ Tuggener, Don and
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+ H{\"u}rlimann, Manuela},
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+ booktitle = "Proceedings of the 10th edition of the Swiss Text Analytics Conference",
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+ month = may,
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+ year = "2025",
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+ address = "Winterthur, Switzerland",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://aclanthology.org/2025.swisstext-1.9/",
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+ pages = "89--102"
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+ }
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+ ```