This repository contains the resources from the paper entitled Flexible Hybrid Table Recognition and Semantic Interpretation System published in a Topical Issue of SN Computer Science entitled ‘Advances on Computer Vision, Imaging and Computer Graphics Theory and Applications’
This repository is structured as follows:
.
├── LICENSE
├── README.md
├── evaluation
│ └── ICDAR2013
└── results
├── icdar2013
├── icdar2019
└── sanity-check
The evaluation/ICDAR2013 directory contains the evaluation script used in the experiment performed on the ICDAR 2013 data set. For a detailed description, see the corresponding README file.
Moreover, the results directory contains the logs and XML files from the experiments described in our paper that were performed on the ICDAR 2013 and ICDAR 2019 benchmarks. Moreover, we also include the results of the sanity check that allowed us to locate and fix an issue in the evaluation script employed to perform the evaluation on the ICDAR 2019 benchmark. For more details about this experiment, please see §5.6 in our paper.
Please cite our paper when using the code:
@Article{Namysl2023,
author={Namys{\l}, Marcin and Esser, Alexander M. and Behnke, Sven and K{\"o}hler, Joachim},
title={Flexible Hybrid Table Recognition and Semantic Interpretation System},
journal={{S}pringer {N}ature {C}omputer {S}cience},
year={2023},
month={Mar},
day={04},
volume={4},
number={3},
pages={246},
issn={2661-8907},
doi={10.1007/s42979-022-01659-z},
url={https://doi.org/10.1007/s42979-022-01659-z}
}- Marcin Namysl ORCID, Google Scholar, Semantic Scholar
This project is licensed under the MIT License - see the LICENSE file for details