2 citations · 2 across the 3 of their papers we have counts for
3 papers
Classifying the Unknown: In-Context Learning for Open-Vocabulary Text and Symbol Recognition
Tom Simon, William Mocaer, Pierrick Tranouez +2
We introduce Rosetta, a multimodal model that leverages Multimodal In-Context Learning (MICL) to classify sequences of novel script patterns in documents by leveraging minimal exam…
Sheet Music Transformer: End-To-End Optical Music Recognition Beyond Monophonic Transcription
Antonio Ríos-Vila, Jorge Calvo-Zaragoza, Thierry Paquet
State-of-the-art end-to-end Optical Music Recognition (OMR) has, to date, primarily been carried out using monophonic transcription techniques to handle complex score layouts, such…
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…