Current status and performance analysis of table recognition in document images with deep neural networks
The first phase of table recognition is to detect the tabular area in a document.
Subsequently, the tabular structures are recognized in the second phase in order to extract …
Subsequently, the tabular structures are recognized in the second phase in order to extract …
Deep learning for table detection and structure recognition: A survey
M Salaheldin Kasem, A Abdallah, A Berendeyev… - ACM Computing …, 2024 - dl.acm.org
Tables are everywhere, from scientific journals, articles, websites, and newspapers all the
way to items we buy at the supermarket. Detecting them is thus of utmost importance to …
way to items we buy at the supermarket. Detecting them is thus of utmost importance to …
Table structure recognition using top-down and bottom-up cues
Tables are information-rich structured objects in document images. While significant work
has been done in localizing tables as graphic objects in document images, only limited …
has been done in localizing tables as graphic objects in document images, only limited …
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 …
Cdec-net: Composite deformable cascade network for table detection in document images
Localizing page elements/objects such as tables, figures, equations, etc. is the primary step
in extracting information from document images. We propose a novel end-to-end trainable …
in extracting information from document images. We propose a novel end-to-end trainable …
A survey of graphical page object detection with deep neural networks
In any document, graphical elements like tables, figures, and formulas contain essential
information. The processing and interpretation of such information require specialized …
information. The processing and interpretation of such information require specialized …
HybridTabNet: Towards better table detection in scanned document images
Tables in document images are an important entity since they contain crucial information.
Therefore, accurate table detection can significantly improve the information extraction from …
Therefore, accurate table detection can significantly improve the information extraction from …
[HTML][HTML] Automatic prediction of presentation style and student engagement from videos
C Thomas, KAVP Sarma, SS Gajula… - Computers and Education …, 2022 - Elsevier
Presentation style is an important dimension to be considered for delivering lectures or
presentations. It affects the quality of the content delivery as well as the engagement of the …
presentations. It affects the quality of the content delivery as well as the engagement of the …
Towards end-to-end semi-supervised table detection with deformable transformer
Table detection is the task of classifying and localizing table objects within document
images. With the recent development in deep learning methods, we observe remarkable …
images. With the recent development in deep learning methods, we observe remarkable …
Towards accessible chart visualizations for the non-visuals: Research, applications and gaps
Abstract Chart Visualizations (CharVis) such as charts/plots and diagrams are commonly
used in documents for representing the underlying quantitative information. However, the …
used in documents for representing the underlying quantitative information. However, the …