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ICDAR 2021 competition on mathematical formula detection

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ICDAR 2021 competition on mathematical formula detection

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dc.contributor.author Anitei, Dan es_ES
dc.contributor.author Sánchez Peiró, Joan Andreu es_ES
dc.contributor.author Fuentes-López, José Manuel es_ES
dc.contributor.author Paredes Palacios, Roberto es_ES
dc.contributor.author Benedí Ruiz, José Miguel es_ES
dc.date.accessioned 2023-12-19T09:22:50Z
dc.date.available 2023-12-19T09:22:50Z
dc.date.issued 2021-09-10 es_ES
dc.identifier.isbn 978-3-030-86337-1 es_ES
dc.identifier.issn 0302-9743 es_ES
dc.identifier.uri http://hdl.handle.net/10251/200909
dc.description.abstract [EN] This paper introduces the Competition on Mathematical Formula Detection that was organized for the ICDAR 2021. The main goal of this competition was to provide the researchers and practitioners a common framework to research on this topic. A large dataset was prepared for this contest where the GT was automatically generated and manually reviewed. Fourteen participants submitted their results for this competition and these results show that there is still room for improvement especially for the detection of embedded mathematical expressions. es_ES
dc.description.sponsorship This work has been partially supported by the Ministerio de Ciencia y Tecnologia under the grant TIN2017-91452-EXP (IBEM) and by the Generalitat Valenciana under the grant PROMETEO/2019/121 (DeepPattern). es_ES
dc.language Inglés es_ES
dc.publisher Springer es_ES
dc.relation.ispartof Document Analysis and Recognition - ICDAR 2021: 16th International Conference, Lausanne, Switzerland, September 5¿10, 2021, Proceedings, Part IV. Lecture Notes in Computer Science (LNCS, volume 12824) es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title ICDAR 2021 competition on mathematical formula detection es_ES
dc.type Comunicación en congreso es_ES
dc.type Artículo es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1007/978-3-030-86337-1_52 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//TIN2017-91452-EXP//INDEXACION Y BUSQUEDA DE EXPRESIONES MATEMATICAS A GRAN ESCALA EN CORPUS MASIVOS DE DOCUMENTOS IMPRESOS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement///PROMETEO%2F2019%2F121//DEEP LEARNING FOR ADAPTATIVE AND MULTIMODAL INTERACTION IN PATTERN RECOGNITION/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation Anitei, D.; Sánchez Peiró, JA.; Fuentes-López, JM.; Paredes Palacios, R.; Benedí Ruiz, JM. (2021). ICDAR 2021 competition on mathematical formula detection. Springer. 783-795. https://doi.org/10.1007/978-3-030-86337-1_52 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 16th International Conference on Document Analysis and Recognition (ICDAR 2021) es_ES
dc.relation.conferencedate Septiembre 05-10,2021 es_ES
dc.relation.conferenceplace Lausanne, Switzerland es_ES
dc.relation.publisherversion https://doi.org/10.1007/978-3-030-86337-1_52 es_ES
dc.description.upvformatpinicio 783 es_ES
dc.description.upvformatpfin 795 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\450319 es_ES
dc.description.references Deng, Y., Kanervisto, A., Rush, A.M.: What you get is what you see: a visual markup decompiler. arXiv abs/1609.04938 (2016) es_ES
dc.description.references Gehrke, J., Ginsparg, P., Kleinberg, J.: Overview of the 2003 KDD cup. SIGKDD Explor. Newsl. (2), 149–151 (2003) es_ES
dc.description.references Oberdiek, H.: The zref package. https://osl.ugr.es/CTAN/macros/latex/contrib/zref/zref.pdf es_ES
dc.description.references Li, X., et al.: Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection (2020) es_ES
dc.description.references Mahdavi, M., Zanibbi, R., MouchÚre, H., Viard-Gaudin, C., Garain, U.: ICDAR 2019 CROHME + TFD: competition on recognition of handwritten mathematical expressions and typeset formula detection. In: International Conference on Document Analysis and Recognition (2019) es_ES
dc.description.references Ohyama, W., Suzuki, M., Uchida, S.: Detecting mathematical expressions in scientific document images using a U-Net trained on a diverse dataset. IEEE Access 7, 144030–144042 (2019) es_ES
dc.description.references Phillips, I.: Methodologies for using UW databases for OCR and image understanding systems. In: Proceedings of the SPIE, Document Recognition V, vol. 3305, pp. 112–127 (1998) es_ES
dc.description.references Pizzini, K., Bonzini, P., Meyering, J., Gordon, A.: GNUsed, a stream editor. https://www.gnu.org/software/sed/manual/sed.pdf es_ES
dc.description.references Solovyev, R., Wang, W., Gabruseva, T.: Weighted boxes fusion: ensembling boxes from different object detection models. Image Vis. Comput. 107, 104117 (2021) es_ES
dc.description.references Suzuki, M., Uchida, S., Nomura, A.: A ground-truthed mathematical character and symbol image database. In: Proceedings of the 8th International Conference on Document Analysis and Recognition (ICDAR 2005), pp. 675–679 (2005) es_ES
dc.description.references Zanibbi, R., Blostein, D.: Recognition and retrieval of mathematical expressions. Int. J. Doc. Anal. Recogn. 14, 331–357 (2011) es_ES
dc.description.references Zanibbi, R., Oard, D.W., Agarwal, A., Mansouri, B.: Overview of ARQMath 2020: CLEF lab on answer retrieval for questions on math. In: Arampatzis, A., et al. (eds.) CLEF 2020. LNCS, vol. 12260, pp. 169–193. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58219-7_15 es_ES


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