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 …
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 …
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 …
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 …
DocSegTr: an instance-level end-to-end document image segmentation transformer
Understanding documents with rich layouts is an essential step towards information
extraction. Business intelligence processes often require the extraction of useful semantic …
extraction. Business intelligence processes often require the extraction of useful semantic …
Swindocsegmenter: An end-to-end unified domain adaptive transformer for document instance segmentation
Instance-level segmentation of documents consists in assigning a class-aware and instance-
aware label to each pixel of the image. It is a key step in document parsing for their …
aware label to each pixel of the image. It is a key step in document parsing for their …
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 …
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 …
A hybrid approach to document layout analysis for heterogeneous document images
We present a new hybrid document layout analysis approach to simultaneously detecting
graphical page objects, group text-lines into text regions according to reading order, and …
graphical page objects, group text-lines into text regions according to reading order, and …