This paper gives an overview of our current Optical Music Recognition (OMR) research. We recently released the OMR dataset \emph{DeepScores} as well as the object detection method \emph{Deep Watershed Detector}. We are currently taking some additional steps to improve both of them. Here we summarize current and future efforts, aimed at improving usefulness on real-world task and tackling extreme class imbalance.
@article{arxiv.1810.05423,
title = {DeepScores and Deep Watershed Detection: current state and open issues},
author = {Ismail Elezi and Lukas Tuggener and Marcello Pelillo and Thilo Stadelmann},
journal= {arXiv preprint arXiv:1810.05423},
year = {2018}
}
Comments
Published on WORMS workshop (ISMIR affiliated workshop)