BUDDI Table Factory: A toolbox for generating synthetic documents with annotated tables and cells
Author:
Affiliation:
1. BUDDI AI, India
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3570991.3571037
Reference30 articles.
1. Madhav Agarwal Ajoy Mondal and C. Jawahar. 2021. CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images. In CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images. 9491-9498. https://doi.org/10.1109/ICPR48806.2021.9411922 10.1109/ICPR48806.2021.9411922
2. Madhav Agarwal Ajoy Mondal and C. Jawahar. 2021. CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images. In CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images. 9491-9498. https://doi.org/10.1109/ICPR48806.2021.9411922
3. Azim Ahmadzadeh Dustin J. Kempton Yang Chen and Rafal A. Angryk. 2021. Multiscale IoU: A Metric for Evaluation of Salient Object Detection with Fine Structures. https://doi.org/10.48550/ARXIV.2105.14572 10.48550/ARXIV.2105.14572
4. Azim Ahmadzadeh Dustin J. Kempton Yang Chen and Rafal A. Angryk. 2021. Multiscale IoU: A Metric for Evaluation of Salient Object Detection with Fine Structures. https://doi.org/10.48550/ARXIV.2105.14572
5. Sanket Biswas Pau Riba Josep Lladós and Umapada Pal. 2021. DocSynth: A Layout Guided Approach for Controllable Document Image Synthesis. https://doi.org/10.48550/ARXIV.2107.02638 10.48550/ARXIV.2107.02638
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