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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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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

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/200909

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Metadatos del ítem

Título: ICDAR 2021 competition on mathematical formula detection
Autor: Anitei, Dan Sánchez Peiró, Joan Andreu Fuentes-López, José Manuel Paredes Palacios, Roberto Benedí Ruiz, José Miguel
Entidad UPV: Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Fecha difusión:
Resumen:
[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 ...[+]
Derechos de uso: Reserva de todos los derechos
ISBN: 978-3-030-86337-1
Fuente:
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). (issn: 0302-9743 )
DOI: 10.1007/978-3-030-86337-1_52
Editorial:
Springer
Versión del editor: https://doi.org/10.1007/978-3-030-86337-1_52
Título del congreso: 16th International Conference on Document Analysis and Recognition (ICDAR 2021)
Lugar del congreso: Lausanne, Switzerland
Fecha congreso: Septiembre 05-10,2021
Código del Proyecto:
info:eu-repo/grantAgreement/AEI//TIN2017-91452-EXP//INDEXACION Y BUSQUEDA DE EXPRESIONES MATEMATICAS A GRAN ESCALA EN CORPUS MASIVOS DE DOCUMENTOS IMPRESOS/
info:eu-repo/grantAgreement///PROMETEO%2F2019%2F121//DEEP LEARNING FOR ADAPTATIVE AND MULTIMODAL INTERACTION IN PATTERN RECOGNITION/
Agradecimientos:
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).
Tipo: Comunicación en congreso Artículo Capítulo de libro

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