Mostrar el registro sencillo del ítem
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 |