14 citations · 14 across the 6 of their papers we have counts for
6 papers
How to Choose Pretrained Handwriting Recognition Models for Single Writer Fine-Tuning
Vittorio Pippi, Silvia Cascianelli, Christopher Kermorvant +1
Recent advancements in Deep Learning-based Handwritten Text Recognition (HTR) have led to models with remarkable performance on both modern and historical manuscripts in large benc…
Large Scale Genealogical Information Extraction From Handwritten Quebec Parish Records
Solène Tarride, Martin Maarand, Mélodie Boillet +4
This paper presents a complete workflow designed for extracting information from Quebec handwritten parish registers. The acts in these documents contain individual and family info…
SIMARA: a database for key-value information extraction from full pages
Solène Tarride, Mélodie Boillet, Jean-François Moufflet +1
We propose a new database for information extraction from historical handwritten documents. The corpus includes 5,393 finding aids from six different series, dating from the 18th-2…
Key-value information extraction from full handwritten pages
Solène Tarride, Mélodie Boillet, Christopher Kermorvant
We propose a Transformer-based approach for information extraction from digitized handwritten documents. Our approach combines, in a single model, the different steps that were so…
Confidence Estimation for Object Detection in Document Images
Mélodie Boillet, Christopher Kermorvant, Thierry Paquet
Deep neural networks are becoming increasingly powerful and large and always require more labelled data to be trained. However, since annotating data is time-consuming, it is now n…
The LAM Dataset: A Novel Benchmark for Line-Level Handwritten Text Recognition
Silvia Cascianelli, Vittorio Pippi, Martin Maarand +4
Handwritten Text Recognition (HTR) is an open problem at the intersection of Computer Vision and Natural Language Processing. The main challenges, when dealing with historical manu…