Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Yvan Putra Satyawan"'
Autor:
Lukas Tuggener, Raphael Emberger, Adhiraj Ghosh, Pascal Sager, Yvan Putra Satyawan, Javier Montoya, Simon Goldschagg, Florian Seibold, Urs Gut, Philipp Ackermann, Jürgen Schmidhuber, Thilo Stadelmann
Publikováno v:
Transactions of the International Society for Music Information Retrieval, Vol 7, Iss 1, Pp 1–14-1–14 (2024)
We present solutions to two of the most pressing issues in contemporary optical music recognition (OMR). We improve recognition accuracy on low-quality, real-world (i.e. containing ageing, lighting, or dirt artefacts among others) input data and prov
Externí odkaz:
https://doaj.org/article/d568dd7db8a44636850f06f5348683ac
Autor:
Mohammadreza Amirian, Lukas Tuggener, Ricardo Chavarriaga, Yvan Putra Satyawan, Frank-Peter Schilling, Friedhelm Schwenker, Thilo Stadelmann
Publikováno v:
Trustworthy AI-Integrating Learning, Optimization and Reasoning ISBN: 9783030739584
With great power comes great responsibility. The success of machine learning, especially deep learning, in research and practice has attracted a great deal of interest, which in turn necessitates increased trust. Sources of mistrust include matters o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7628b917d9e5f9d6f0944d420761e9c9
https://doi.org/10.1007/978-3-030-73959-1_23
https://doi.org/10.1007/978-3-030-73959-1_23
Publikováno v:
ICPR
The dataset, code and pre-trained models, as well as user instructions, are publicly available at https://zenodo.org/record/4012193.
In this paper, we present DeepScoresV2, an extended version of the DeepScores dataset for optical music recognit
In this paper, we present DeepScoresV2, an extended version of the DeepScores dataset for optical music recognit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e334b3e1b1d4dbf8c6b8deb4295b21f
https://hdl.handle.net/11475/20647
https://hdl.handle.net/11475/20647