44 citations · 127 across the 11 of their papers we have counts for
12 papers
METATR: A Multilingual, Evolving Benchmark for Automatic Text Recognition
Mélodie Boillet, Solène Tarride, Christopher Kermorvant
Benchmarks that reflect the diversity and complexity of real-world documents are essential for accurately evaluating Automatic Text Recognition (ATR) systems, especially Vision-Lar…
Improving Automatic Text Recognition with Language Models in the PyLaia Open-Source Library
Solène Tarride, Yoann Schneider, Marie Generali-Lince +3
PyLaia is one of the most popular open-source software for Automatic Text Recognition (ATR), delivering strong performance in terms of speed and accuracy. In this paper, we outline…
The Socface Project: Large-Scale Collection, Processing, and Analysis of a Century of French Censuses
Mélodie Boillet, Solène Tarride, Manon Blanco +5
This paper presents a complete processing workflow for extracting information from French census lists from 1836 to 1936. These lists contain information about individuals living i…
Handwritten Text Recognition from Crowdsourced Annotations
Solène Tarride, Tristan Faine, Mélodie Boillet +2
In this paper, we explore different ways of training a model for handwritten text recognition when multiple imperfect or noisy transcriptions are available. We consider various tra…
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…
Robust Text Line Detection in Historical Documents: Learning and Evaluation Methods
Mélodie Boillet, Christopher Kermorvant, Thierry Paquet
Text line segmentation is one of the key steps in historical document understanding. It is challenging due to the variety of fonts, contents, writing styles and the quality of docu…
Including Keyword Position in Image-based Models for Act Segmentation of Historical Registers
Mélodie Boillet, Martin Maarand, Thierry Paquet +1
The segmentation of complex images into semantic regions has seen a growing interest these last years with the advent of Deep Learning. Until recently, most existing methods for Hi…
Multiple Document Datasets Pre-training Improves Text Line Detection With Deep Neural Networks
Mélodie Boillet, Christopher Kermorvant, Thierry Paquet
In this paper, we introduce a fully convolutional network for the document layout analysis task. While state-of-the-art methods are using models pre-trained on natural scene images…
HORAE: an annotated dataset of books of hours
Mélodie Boillet, Marie-Laurence Bonhomme, Dominique Stutzmann +1
We introduce in this paper a new dataset of annotated pages from books of hours, a type of handwritten prayer books owned and used by rich lay people in the late middle ages. The d…