Table understanding: Problem overview
A Shigarov - Wiley Interdisciplinary Reviews: Data Mining and …, 2023 - Wiley Online Library
Tables are probably the most natural way to represent relational data in various media and
formats. They store a large number of valuable facts that could be utilized for question …
formats. They store a large number of valuable facts that could be utilized for question …
Robust table detection and structure recognition from heterogeneous document images
We introduce a new table detection and structure recognition approach named
RobusTabNet to detect the boundaries of tables and reconstruct the cellular structure of …
RobusTabNet to detect the boundaries of tables and reconstruct the cellular structure of …
Tsrformer: Table structure recognition with transformers
We present a new table structure recognition (TSR) approach, called TSRFormer, to robustly
recognizing the structures of complex tables with geometrical distortions from various table …
recognizing the structures of complex tables with geometrical distortions from various table …
Deep learning-based extraction of algorithmic metadata in full-text scholarly documents
The advancements of search engines for traditional text documents have enabled the
effective retrieval of massive textual information in a resource-efficient manner. However …
effective retrieval of massive textual information in a resource-efficient manner. However …
Deeptabstr: Deep learning based table structure recognition
This paper presents a novel method for the analysis of tabular structures in document
images using the potential of deformable convolutional networks. In order to assess the …
images using the potential of deformable convolutional networks. In order to assess the …
Rethinking semantic segmentation for table structure recognition in documents
Based on the recent advancements in the domain of semantic segmentation, Fully-
Convolutional Networks (FCN) have been successfully applied for the task of table structure …
Convolutional Networks (FCN) have been successfully applied for the task of table structure …
Guided table structure recognition through anchor optimization
This paper presents the novel approach towards table structure recognition by leveraging
the guided anchors. The concept differs from current state-of-the-art systems for table …
the guided anchors. The concept differs from current state-of-the-art systems for table …
Robust table structure recognition with dynamic queries enhanced detection transformer
We present a new table structure recognition (TSR) approach, called TSRFormer, to robustly
recognize the structures of complex tables with geometrical distortions from various table …
recognize the structures of complex tables with geometrical distortions from various table …
Accessibility of Tables in PDF Documents: Issues, Challenges and Future Directions
People access and share information over the web and in other digital environments,
including digital libraries, in the form of documents such as books, articles, technical reports …
including digital libraries, in the form of documents such as books, articles, technical reports …
An efficient framework for algorithmic metadata extraction over scholarly documents using deep neural networks
The conventional text documents have made it possible to efficiently retrieve large amounts
of text data with the development of various search engines. However, these traditional …
of text data with the development of various search engines. However, these traditional …