Papers › DeepScores and Deep Watershed Detection: current state and open issues
DeepScores and Deep Watershed Detection: current state and open issues
Ismail Elezi, Lukas Tuggener, Marcello Pelillo, Thilo Stadelmann
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.
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