{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T17:14:52Z","timestamp":1743009292130,"version":"3.40.3"},"publisher-location":"Cham","reference-count":30,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031377303"},{"type":"electronic","value":"9783031377310"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-37731-0_8","type":"book-chapter","created":{"date-parts":[[2023,8,9]],"date-time":"2023-08-09T14:02:30Z","timestamp":1691589750000},"page":"93-107","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Few-Shot Music Symbol Classification via\u00a0Self-Supervised Learning and\u00a0Nearest Neighbor"],"prefix":"10.1007","author":[{"given":"Antonio","family":"Rios-Vila","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mar\u00eda","family":"Alfaro-Contreras","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jose J.","family":"Valero-Mas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jorge","family":"Calvo-Zaragoza","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,8,10]]},"reference":[{"key":"8_CR1","unstructured":"Alfaro-Contreras, M., Rizo, D., I\u00f1esta, J.M., Calvo-Zaragoza, J.: OMR-assisted transcription: a case study with early prints. In: Proceedings of the 22nd International Society for Music Information Retrieval Conference, pp. 35\u201341 (2021)"},{"key":"8_CR2","unstructured":"Apel, W.: The notation of polyphonic music: 900\u20131600. Cambridge Mass (1949)"},{"key":"8_CR3","unstructured":"Bardes, A., Ponce, J., LeCun, Y.: Vicreg: variance-invariance-covariance regularization for self-supervised learning. CoRR abs\/2105.04906 (2021)"},{"issue":"3","key":"8_CR4","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1080\/09298215.2015.1045424","volume":"44","author":"D Byrd","year":"2015","unstructured":"Byrd, D., Simonsen, J.G.: Towards a standard testbed for optical music recognition: definitions, metrics, and page images. J. New Music Res. 44(3), 169\u2013195 (2015)","journal-title":"J. New Music Res."},{"key":"8_CR5","doi-asserted-by":"crossref","unstructured":"Calvo-Zaragoza, J., Hajic Jr., J., Pacha, A.: Understanding optical music recognition. ACM Comput. Surv. 53(4), 77:1\u201377:35 (2020)","DOI":"10.1145\/3397499"},{"issue":"4","key":"8_CR6","doi-asserted-by":"publisher","first-page":"1573","DOI":"10.1007\/s10044-019-00807-1","volume":"22","author":"J Calvo-Zaragoza","year":"2019","unstructured":"Calvo-Zaragoza, J., Toselli, A.H., Vidal, E.: Hybrid hidden Markov models and artificial neural networks for handwritten music recognition in mensural notation. Pattern Anal. Appl. 22(4), 1573\u20131584 (2019). https:\/\/doi.org\/10.1007\/s10044-019-00807-1","journal-title":"Pattern Anal. Appl."},{"key":"8_CR7","doi-asserted-by":"crossref","unstructured":"Caron, M., et al.: Emerging properties in self-supervised vision transformers (2021)","DOI":"10.1109\/ICCV48922.2021.00951"},{"key":"8_CR8","doi-asserted-by":"crossref","unstructured":"Chen, X., He, K.: Exploring simple siamese representation learning. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 15750\u201315758 (2021)","DOI":"10.1109\/CVPR46437.2021.01549"},{"key":"8_CR9","doi-asserted-by":"crossref","unstructured":"Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: Imagenet: a large-scale hierarchical image database. In: 2009 IEEE Conference on Computer Vision and Pattern Recognition, pp. 248\u2013255. IEEE (2009)","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"8_CR10","unstructured":"Desmond, K., Pugin, L., Regimbal, J., Rizo, D., Sapp, C., Thomae, M.: Encoding polyphony from medieval manuscripts notated in mensural notation. In: Music Encoding Conference Proceedings 2021 (2021)"},{"key":"8_CR11","volume-title":"Pattern Classification","author":"RO Duda","year":"2001","unstructured":"Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. Wiley, Hoboken (2001)","edition":"2"},{"key":"8_CR12","unstructured":"Duval, E., van Berchum, M., Jentzsch, A., Chico, G.A.P., Drakos, A.: Musicology of early music with Europeana tools and services. In: M\u00fcller, M., Wiering, F. (eds.) Proceedings of the 16th International Society for Music Information Retrieval Conference, pp. 632\u2013638 (2015)"},{"key":"8_CR13","doi-asserted-by":"crossref","unstructured":"Fujinaga, I., Vigliensoni, G.: The art of teaching computers: the SIMSSA optical music recognition workflow system. In: 2019 27th European Signal Processing Conference (EUSIPCO), pp. 1\u20135 (2019)","DOI":"10.23919\/EUSIPCO.2019.8902658"},{"key":"8_CR14","unstructured":"Hankinson, A., Roland, P., Fujinaga, I.: The music encoding initiative as a document-encoding framework. In: Klapuri, A., Leider, C. (eds.) Proceedings of the 12th International Society for Music Information Retrieval Conference, pp. 293\u2013298. University of Miami (2011)"},{"key":"8_CR15","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"issue":"1","key":"8_CR16","doi-asserted-by":"publisher","first-page":"2","DOI":"10.3390\/technologies9010002","volume":"9","author":"A Jaiswal","year":"2021","unstructured":"Jaiswal, A., Babu, A.R., Zadeh, M.Z., Banerjee, D., Makedon, F.: A survey on contrastive self-supervised learning. Technologies 9(1), 2 (2021)","journal-title":"Technologies"},{"issue":"11","key":"8_CR17","doi-asserted-by":"publisher","first-page":"4037","DOI":"10.1109\/TPAMI.2020.2992393","volume":"43","author":"L Jing","year":"2020","unstructured":"Jing, L., Tian, Y.: Self-supervised visual feature learning with deep neural networks: a survey. IEEE Trans. Pattern Anal. Mach. Intell. 43(11), 4037\u20134058 (2020)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"8_CR18","unstructured":"Van der Maaten, L., Hinton, G.: Visualizing data using t-SNE. J. Mach. Learn. Res. 9(11) (2008)"},{"key":"8_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"708","DOI":"10.1007\/978-3-030-86334-0_46","volume-title":"Document Analysis and Recognition \u2013 ICDAR 2021","author":"E Mas-Candela","year":"2021","unstructured":"Mas-Candela, E., Alfaro-Contreras, M., Calvo-Zaragoza, J.: Sequential next-symbol prediction for optical music recognition. In: Llad\u00f3s, J., Lopresti, D., Uchida, S. (eds.) ICDAR 2021. LNCS, vol. 12823, pp. 708\u2013722. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-86334-0_46"},{"key":"8_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"135","DOI":"10.1007\/978-3-030-31321-0_12","volume-title":"Pattern Recognition and Image Analysis","author":"TN Mateiu","year":"2019","unstructured":"Mateiu, T.N., Gallego, A.-J., Calvo-Zaragoza, J.: Domain adaptation for handwritten symbol recognition: a case of study in old music manuscripts. In: Morales, A., Fierrez, J., S\u00e1nchez, J.S., Ribeiro, B. (eds.) IbPRIA 2019. LNCS, vol. 11868, pp. 135\u2013146. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-31321-0_12"},{"key":"8_CR21","doi-asserted-by":"crossref","unstructured":"M\u00fcller, C.: Between Digital Transformation in Libraries and the Digital Humanities: New Perspectives on Librarianship, pp. 379\u2013384. De Gruyter (2020)","DOI":"10.1515\/9783110713015-023"},{"key":"8_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"159","DOI":"10.1007\/978-3-030-31321-0_14","volume-title":"Pattern Recognition and Image Analysis","author":"A Nu\u00f1ez-Alcover","year":"2019","unstructured":"Nu\u00f1ez-Alcover, A., de Le\u00f3n, P.J.P., Calvo-Zaragoza, J.: Glyph and position classification of music symbols in early music manuscripts. In: Morales, A., Fierrez, J., S\u00e1nchez, J.S., Ribeiro, B. (eds.) IbPRIA 2019. LNCS, vol. 11868, pp. 159\u2013168. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-31321-0_14"},{"key":"8_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107090","volume":"224","author":"K Ohri","year":"2021","unstructured":"Ohri, K., Kumar, M.: Review on self-supervised image recognition using deep neural networks. Knowl.-Based Syst. 224, 107090 (2021)","journal-title":"Knowl.-Based Syst."},{"key":"8_CR24","doi-asserted-by":"crossref","unstructured":"Pacha, A., Choi, K.Y., Co\u00fcasnon, B., Ricquebourg, Y., Zanibbi, R., Eidenberger, H.: Handwritten music object detection: open issues and baseline results. In: 13th International Workshop on Document Analysis Systems, pp. 163\u2013168 (2018)","DOI":"10.1109\/DAS.2018.51"},{"key":"8_CR25","doi-asserted-by":"crossref","unstructured":"Pugin, L.: Editing Renaissance Music: The Aruspix Project, pp. 147\u2013156. De Gruyter (2009)","DOI":"10.1515\/9783110231144.147"},{"key":"8_CR26","doi-asserted-by":"crossref","unstructured":"Rebelo, A., Fujinaga, I., Paszkiewicz, F., Marcal, A.R., Guedes, C., Cardoso, J.D.S.: Optical music recognition: state-of-the-art and open issues. Int. J. Multimedia Inf. Retrieval 1(3), 173\u2013190 (2012)","DOI":"10.1007\/s13735-012-0004-6"},{"key":"8_CR27","doi-asserted-by":"crossref","unstructured":"Rizo, D., Calvo-Zaragoza, J., I\u00f1esta, J.M.: MuRET: a music recognition, encoding, and transcription tool. In: Page, K.R. (ed.) Proceedings of the 5th International Conference on Digital Libraries for Musicology, pp. 52\u201356. ACM (2018)","DOI":"10.1145\/3273024.3273029"},{"key":"8_CR28","doi-asserted-by":"crossref","unstructured":"Stoessel, J., Collins, D., Bolland, S.: Using optical music recognition to encode 17th-century music prints: the canonic works of paolo agostini (c.1583-1629) as a test case. In: Proceedings of the 7th International Conference on Digital Libraries for Musicology, pp. 1\u20139. ACM (2020)","DOI":"10.1145\/3424911.3425517"},{"key":"8_CR29","unstructured":"Thomae, M.: The Guatemalan Choirbooks: Facilitating Preservation, Performance, and Study of the Colonial Repertoire. Rowman & Littlefield (2021)"},{"key":"8_CR30","unstructured":"Zbontar, J., Jing, L., Misra, I., LeCun, Y., Deny, S.: Barlow twins: self-supervised learning via redundancy reduction. In: International Conference on Machine Learning, pp. 12310\u201312320. PMLR (2021)"}],"container-title":["Lecture Notes in Computer Science","Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-37731-0_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,9]],"date-time":"2023-08-09T14:03:22Z","timestamp":1691589802000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-37731-0_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031377303","9783031377310"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-37731-0_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"10 August 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICPR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Pattern Recognition","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Montr\u00e9al, QC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Canada","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 August 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25 August 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icpr2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iapr.org\/icpr2022","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}