4 citations · 7 across the 8 of their papers we have counts for
8 papers
Text region detection in historical astronomical diagrams
Zeynep Sonat Baltacı, Raphaël Baena, Fei Meng +4
Text detection is a crucial task in the analysis of historical documents. While datasets and benchmarks exist for text detection in manuscripts and maps, the study of text in mathe…
Leveraging Morphology for Historical Script Metrological Analysis
Malamatenia Vlachou Efstathiou, Raphaël Baena, Dominique Stutzmann +1
Advances in handwritten text recognition have enabled large-scale transcription of historical documents, but still provide limited access to interpretable visual measurements for p…
PoM: A Linear-Time Replacement for Attention with the Polynomial Mixer
David Picard, Nicolas Dufour, Lucas Degeorge +14
This paper introduces the Polynomial Mixer (PoM), a novel token mixing mechanism with linear complexity that serves as a drop-in replacement for self-attention. PoM aggregates inpu…
General Detection-based Text Line Recognition
Raphael Baena, Syrine Kalleli, Mathieu Aubry
We introduce a general detection-based approach to text line recognition, be it printed (OCR) or handwritten (HTR), with Latin, Chinese, or ciphered characters. Detection-based app…
On Transfer in Classification: How Well do Subsets of Classes Generalize?
Raphael Baena, Lucas Drumetz, Vincent Gripon
In classification, it is usual to observe that models trained on a given set of classes can generalize to previously unseen ones, suggesting the ability to learn beyond the initial…
Preserving Fine-Grain Feature Information in Classification via Entropic Regularization
Raphael Baena, Lucas Drumetz, Vincent Gripon
Labeling a classification dataset implies to define classes and associated coarse labels, that may approximate a smoother and more complicated ground truth. For example, natural im…
Preventing Manifold Intrusion with Locality: Local Mixup
Raphael Baena, Lucas Drumetz, Vincent Gripon
Mixup is a data-dependent regularization technique that consists in linearly interpolating input samples and associated outputs. It has been shown to improve accuracy when used to…
Inferring Graph Signal Translations as Invariant Transformations for Classification Tasks
Raphael Baena, Lucas Drumetz, Vincent Gripon
The field of Graph Signal Processing (GSP) has proposed tools to generalize harmonic analysis to complex domains represented through graphs. Among these tools are translations, whi…