3 citations · 3 across the 3 of their papers we have counts for
3 papers
MSdocTr-Lite: A Lite Transformer for Full Page Multi-script Handwriting Recognition
Marwa Dhiaf, Ahmed Cheikh Rouhou, Yousri Kessentini +1
The Transformer has quickly become the dominant architecture for various pattern recognition tasks due to its capacity for long-range representation. However, transformers are data…
ST-KeyS: Self-Supervised Transformer for Keyword Spotting in Historical Handwritten Documents
Sana Khamekhem Jemni, Sourour Ammar, Mohamed Ali Souibgui +2
Keyword spotting (KWS) in historical documents is an important tool for the initial exploration of digitized collections. Nowadays, the most efficient KWS methods are relying on ma…
Transformer-Based Approach for Joint Handwriting and Named Entity Recognition in Historical documents
Ahmed Cheikh Rouhoua, Marwa Dhiaf, Yousri Kessentini +1
The extraction of relevant information carried out by named entities in handwriting documents is still a challenging task. Unlike traditional information extraction approaches that…