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Deep learning for table detection and structure recognition: A survey. (arXiv:2211.08469v1 [cs.CV])
Nov. 17, 2022, 2:14 a.m. | Mahmoud Kasem, Abdelrahman Abdallah, Alexander Berendeyev, Ebrahem Elkady, Mahmoud Abdalla, Mohamed Mahmoud, Mohamed Hamada, Daniyar Nurseitov, Islam
cs.CV updates on arXiv.org arxiv.org
Tables are everywhere, from scientific journals, papers, websites, and
newspapers all the way to items we buy at the supermarket. Detecting them is
thus of utmost importance to automatically understanding the content of a
document. The performance of table detection has substantially increased thanks
to the rapid development of deep learning networks. The goals of this survey
are to provide a profound comprehension of the major developments in the field
of Table Detection, offer insight into the different methodologies, and …
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