Please use this identifier to cite or link to this item:
https://doi.org/10.21256/zhaw-4777Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Elezi, Ismail | - |
| dc.contributor.author | Tuggener, Lukas | - |
| dc.contributor.author | Pelillo, Marcello | - |
| dc.contributor.author | Stadelmann, Thilo | - |
| dc.date.accessioned | 2019-01-22T15:24:19Z | - |
| dc.date.available | 2019-01-22T15:24:19Z | - |
| dc.date.issued | 2018-09-20 | - |
| dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/14488 | - |
| dc.description.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 tasks and tackling extreme class imbalance. | de_CH |
| dc.language.iso | en | de_CH |
| dc.publisher | Society for Music Information Retrieval | de_CH |
| dc.rights | https://creativecommons.org/licenses/by-nc/4.0/ | de_CH |
| dc.subject | Optical music recognition | de_CH |
| dc.subject | Deep learning | de_CH |
| dc.subject.ddc | 006: Spezielle Computerverfahren | de_CH |
| dc.title | DeepScores and Deep Watershed Detection : current state and open issues | de_CH |
| dc.type | Konferenz: Paper | de_CH |
| dcterms.type | Text | de_CH |
| zhaw.departement | School of Engineering | de_CH |
| zhaw.organisationalunit | Institut für Informatik (InIT) | de_CH |
| zhaw.publisher.place | Paris | de_CH |
| dc.identifier.doi | 10.21256/zhaw-4777 | - |
| zhaw.conference.details | 1st International Workshop on Reading Music Systems at ISMIR 2018, Paris, France, 20 September 2018 | de_CH |
| zhaw.funding.eu | No | de_CH |
| zhaw.originated.zhaw | Yes | de_CH |
| zhaw.pages.end | 14 | de_CH |
| zhaw.pages.start | 13 | de_CH |
| zhaw.publication.status | publishedVersion | de_CH |
| zhaw.publication.review | Peer review (Publikation) | de_CH |
| zhaw.title.proceedings | Proceedings of the 1st International Workshop on Reading Music Systems | de_CH |
| zhaw.webfeed | Datalab | de_CH |
| zhaw.webfeed | Information Engineering | de_CH |
| zhaw.webfeed | Natural Language Processing | de_CH |
| zhaw.webfeed | Machine Perception and Cognition | de_CH |
| zhaw.funding.zhaw | DeepScore: Digitales Notenpult mit musikalischem Verständnis durch Active Sheet Technologie | de_CH |
| Appears in collections: | Publikationen School of Engineering | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2018_Elezi_DeepScores and Deep Watershed Detection_WORMS_proceedings.pdf | 2.15 MB | Adobe PDF |  View/Open |
Show simple item record
Elezi, I., Tuggener, L., Pelillo, M., & Stadelmann, T. (2018). DeepScores and Deep Watershed Detection : current state and open issues [Conference paper]. Proceedings of the 1st International Workshop on Reading Music Systems, 13–14. https://doi.org/10.21256/zhaw-4777
Elezi, I. et al. (2018) ‘DeepScores and Deep Watershed Detection : current state and open issues’, in Proceedings of the 1st International Workshop on Reading Music Systems. Paris: Society for Music Information Retrieval, pp. 13–14. Available at: https://doi.org/10.21256/zhaw-4777.
I. Elezi, L. Tuggener, M. Pelillo, and T. Stadelmann, “DeepScores and Deep Watershed Detection : current state and open issues,” in Proceedings of the 1st International Workshop on Reading Music Systems, Sep. 2018, pp. 13–14. doi: 10.21256/zhaw-4777.
ELEZI, Ismail, Lukas TUGGENER, Marcello PELILLO und Thilo STADELMANN, 2018. DeepScores and Deep Watershed Detection : current state and open issues. In: Proceedings of the 1st International Workshop on Reading Music Systems. Conference paper. Paris: Society for Music Information Retrieval. 20 September 2018. S. 13–14
Elezi, Ismail, Lukas Tuggener, Marcello Pelillo, and Thilo Stadelmann. 2018. “DeepScores and Deep Watershed Detection : Current State and Open Issues.” Conference paper. In Proceedings of the 1st International Workshop on Reading Music Systems, 13–14. Paris: Society for Music Information Retrieval. https://doi.org/10.21256/zhaw-4777.
Elezi, Ismail, et al. “DeepScores and Deep Watershed Detection : Current State and Open Issues.” Proceedings of the 1st International Workshop on Reading Music Systems, Society for Music Information Retrieval, 2018, pp. 13–14, https://doi.org/10.21256/zhaw-4777.
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