Tncr: Table net detection and classification dataset
A Abdallah, A Berendeyev, I Nuradin, D Nurseitov - Neurocomputing, 2022 - Elsevier
We present TNCR, a new table dataset with varying image quality collected from open
access websites. TNCR dataset can be used for table detection in scanned document …
access websites. TNCR dataset can be used for table detection in scanned document …
Intelligent document processing in end-to-end RPA contexts: a systematic literature review
A Martínez-Rojas, JM López-Carnicer… - Confluence of Artificial …, 2023 - Springer
Automating organizational processes typically involves document processing techniques for
a large document set. For that purpose, the Intelligent Document Processing (IDP) paradigm …
a large document set. For that purpose, the Intelligent Document Processing (IDP) paradigm …
Holistic design for deep learning-based discovery of tabular structures in datasheet images
Extracting data from tabular structures contained within product datasheets is crucial in
many contexts, particularly in the management and optimization of supply chains that serve …
many contexts, particularly in the management and optimization of supply chains that serve …
Tabcellnet: Deep learning-based tabular cell structure detection
There is an increasing demand for automated document processing techniques as the
volume of electronic component documents increase. This is most prevalent in the supply …
volume of electronic component documents increase. This is most prevalent in the supply …
Creating hardware component knowledge bases with training data generation and multi-task learning
Hardware component databases are vital resources in designing embedded systems. Since
creating these databases requires hundreds of thousands of hours of manual data entry …
creating these databases requires hundreds of thousands of hours of manual data entry …
High precision deep learning-based tabular position detection
Documents are constantly being processed within supply chains in various industries
throughout the globe. Within those documents, often times the most important content is …
throughout the globe. Within those documents, often times the most important content is …
On cropped versus uncropped training sets in tabular structure detection
Automated document processing for tabular information extraction is highly desired in many
organizations, from industry to government. Prior works addressed this problem under table …
organizations, from industry to government. Prior works addressed this problem under table …
Tabular Information Extraction from Datasheets with Deep Learning for Semantic Modeling
Y Akkaya - 2022 - ruor.uottawa.ca
The growing popularity of artificial intelligence and machine learning has led to the adop-
tion of the automation vision in the industry by many other institutions and organizations …
tion of the automation vision in the industry by many other institutions and organizations …
[PDF][PDF] TNCR: Table Net Detection and Classification Dataset
D Nurseitova - researchgate.net
We present TNCR, a new table dataset with varying image quality collected from open
access websites. TNCR dataset can be used for table detection in scanned document …
access websites. TNCR dataset can be used for table detection in scanned document …
High Precision Deep Learning-Based Tabular Data Extraction
JC Jiang - 2021 - ruor.uottawa.ca
The advancements of AI methodologies and computing power enables automation and
propels the Industry 4.0 phenomenon. Information and data are digitized more than ever …
propels the Industry 4.0 phenomenon. Information and data are digitized more than ever …