DeepScores and Deep Watershed Detection: current state and open issues

Ismail Elezi, Lukas Tuggener, Marcello Pelillo, Thilo Stadelmann

Jul 15, 2018 ISMIR 2018 WoRMS Submission readers: everyone
  • Abstract: This paper gives an overview of our current Optical Music Recognition (OMR) research. We recently released the OMR data set DeepScores as well as the object detection method 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.
  • Keywords: deep learning, optical music recognition, CNN
  • TL;DR: A description on the challenges and recent developments of DeepScores and Deep Watershed Detection
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