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 …
Image-based table recognition: data, model, and evaluation
Important information that relates to a specific topic in a document is often organized in
tabular format to assist readers with information retrieval and comparison, which may be …
tabular format to assist readers with information retrieval and comparison, which may be …
Tablebank: Table benchmark for image-based table detection and recognition
We present TableBank, a new image-based table detection and recognition dataset built
with novel weak supervision from Word and Latex documents on the internet. Existing …
with novel weak supervision from Word and Latex documents on the internet. Existing …
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 …
Table detection using deep learning
Table detection is a crucial step in many document analysis applications as tables are used
for presenting essential information to the reader in a structured manner. It is a hard problem …
for presenting essential information to the reader in a structured manner. It is a hard problem …
Tableformer: Table structure understanding with transformers
Tables organize valuable content in a concise and compact representation. This content is
extremely valuable for systems such as search engines, Knowledge Graph's, etc, since they …
extremely valuable for systems such as search engines, Knowledge Graph's, etc, since they …
Global table extractor (gte): A framework for joint table identification and cell structure recognition using visual context
Documents are often the format of choice for knowledge sharing and preservation in
business and science, within which are tables that capture most of the critical data …
business and science, within which are tables that capture most of the critical data …
Rethinking table recognition using graph neural networks
Document structure analysis, such as zone segmentation and table recognition, is a
complex problem in document processing and is an active area of research. The recent …
complex problem in document processing and is an active area of research. The recent …
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 …