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The KuiSCIMA Dataset for Optical Music Recognition of Ancient Chinese Suzipu Notation

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Correction Crossref 1 open · 1 total · 0 disputed
DOI
10.1007/978-3-031-70552-6_3
Notice DOI
10.1007/978-3-031-70552-6_27
Event date
2025-06-15
Machine twin
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01One-hop citing occurrences

Correction Open
KuiSCIMA v2.0: Improved Baselines, Calibration, and Cross-Notation Generalization for Historical Chinese Music Notations in Jiang Kui's Baishidaoren Gequ

ref [17] · 2507.18741 · notice #8723 · dispute

Raw extraction · citation context

tw/conf/ismir2014/proceedings/T057%5C_237% 5C_Paper.pdf. [17] Tristan Repolusk and Eduardo Veas. "The KuiSCIMA Dataset for Optical Music Recognition of Ancient Chinese Suzipu Notation". In: Document Analysis and Recognition - ICDAR 2024 . Ed. by Elisa H. Barney Smith, Marcus Liwicki, and Liangrui Peng. Cham, Switzerland: Springer Nature Switzerland, 2024, pp. 38-54. doi: 10.1007/978-3-031-70552-6_3 . [18] Tristan Repolusk and Eduardo Veas. "The Suzipu Musical Annotation Tool for the Creation of Machine-Readable Datasets of Ancient Chinese Music". In: Proceedings of the 5th International Workshop on Reading Mu- sic Systems (WoRMS) . Ed. by Jorge Calvo-Zaragoza, Alexander Pacha, and Elona Shatri. Milano, Italy, 2023, pp. 7-11. doi: 10.48550/arXiv.

Parser render (TeX stripped for reading; raw above is the evidence)

tw/conf/ismir2014/proceedings/T057%5C_237% 5C_Paper.pdf. [17] Tristan Repolusk and Eduardo Veas. "The KuiSCIMA Dataset for Optical Music Recognition of Ancient Chinese Suzipu Notation". In: Document Analysis and Recognition - ICDAR 2024 . Ed. by Elisa H. Barney Smith, Marcus Liwicki, and Liangrui Peng. Cham, Switzerland: Springer Nature Switzerland, 2024, pp. 38-54. doi: 10.1007/978-3-031-70552-6_3 . [18] Tristan Repolusk and Eduardo Veas. "The Suzipu Musical Annotation Tool for the Creation of Machine-Readable Datasets of Ancient Chinese Music". In: Proceedings of the 5th International Workshop on Reading Mu- sic Systems (WoRMS) . Ed. by Jorge Calvo-Zaragoza, Alexander Pacha, and Elona Shatri. Milano, Italy, 2023, pp. 7-11. doi: 10.48550/arXiv

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