In this special issue, we acknowledge new advances in document analysis and recognition (DAR) that use DL models to analyze graphic-rich documents.

Can common deep learning models be used to tackle Graphic. Recognition problems and improve document understanding? This special issue is aimed to report the ...

Can common deep learning models be used to tackle Graphic Recognition problems and improve document understanding? This special issue is aimed to report the ...

Deep learning for graphics recognition: document understanding and beyond. Authors: Jean-Christophe Burie. Jean-Christophe Burie. Laboratoire L3i, La Rochelle ...

This special issue focuses on the application of deep learning techniques in graphics recognition, which deals with the interpretation of graphical documents ...

Numeral recognition is an important preliminary step for optical character recognition, document understanding and others. Deep learning based numeral ...

Call for Papers: Deep Learning for Graphics Recognition: Document Understanding and Beyond. International Journal on Document Analysis and Recognition ...

Deep learning for graphics recognition: document understanding and beyond ... Persian handwritten digit, character and word recognition using deep learning.

Aug 2, 2024 · This paper provides a comprehensive review of deep learning-based VRDU frameworks. We systematically survey and analyze existing methods and benchmark datasets.

Jun 27, 2024 · The field of Document Understanding, which addresses the problem of solving an array of Natural Language Processing (NLP) tasks for ...