Mostrando 5 resultados de: 5
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Conference Object(5)
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(3)
CrowdMM 2013 - Proceedings of the 2nd ACM International Workshop on Crowdsourcing for Multimedia(1)
Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022(1)
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Funcionamiento de bibliotecas y archivos(3)
Ciencias de la computación(1)
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A Generic Image Retrieval Method for Date Estimation of Historical Document Collections
Conference ObjectAbstract: Date estimation of historical document images is a challenging problem, with several contributions iPalabras claves:Date estimation, Document retrieval, Image retrieval, Ranking loss, Smooth-nDCGAutores:Llados J., Lluís Álvarez Gómez, Molina A., Ramos-Terrades O.Fuentes:scopusDate Estimation in the Wild of Scanned Historical Photos: An Image Retrieval Approach
Conference ObjectAbstract: This paper presents a novel method for date estimation of historical photographs from archival sourcPalabras claves:Date estimation, Historical photographs, Image retrieval, Ranking loss, Smooth-nDCGAutores:Llados J., Lluís Álvarez Gómez, Molina A., Ramos-Terrades O., Riba P.Fuentes:scopusDivide and conquer: Atomizing and parallelizing a task in a mobile crowdsourcing platform
Conference ObjectAbstract: In this paper we present some conclusions about the advantages of having an efficient task formulatiPalabras claves:Computer Vision, Crowdsourcing ground truth generation, Document Analysis, Mobile crowd-sourcing platformAutores:A. D. Sappa, Amato A., Fornes A., Llados J., Lumbreras Ruiz F.Fuentes:scopusOne-shot Compositional Data Generation for Low Resource Handwritten Text Recognition
Conference ObjectAbstract: Low resource Handwritten Text Recognition (HTR) is a hard problem due to the scarce annotated data aPalabras claves:Document AnalysisAutores:Dey S., Fornes A., Furkan Biten A., Karatzas D., Kessentini Y., Llados J., Lluís Álvarez Gómez, Souibgui M.A.Fuentes:scopusLearning to Rank Words: Optimizing Ranking Metrics for Word Spotting
Conference ObjectAbstract: In this paper, we explore and evaluate the use of ranking-based objective functions for learning simPalabras claves:Ranking loss, Smooth-AP, Smooth-nDCG, Word spottingAutores:Llados J., Lluís Álvarez Gómez, Molina A., Ramos-Terrades O., Riba P.Fuentes:scopus