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Image annotation as Text-Image matching: Challenge design and results
Luis Luis Pellegrin
OCTAVIO LOYOLA GONZALEZ
JOSE ORTIZ BEJAR
MIGUEL ANGEL MEDINA PEREZ
ANDRES EDUARDO GUTIERREZ RODRIGUEZ
Eric Sadit Téllez Avila
MARIO GRAFF GUERRERO
SABINO MIRANDA JIMENEZ
Daniela Moctezuma
MAURICIO ALFONSO GARCIA LIMON
ALICIA MORALES REYES
CARLOS ALBERTO REYES GARCIA
Eduardo Morales Manzanares
Hugo Jair Escalante
Acceso Abierto
Atribución-NoComercial
https://www.cys.cic.ipn.mx/ojs/index.php/CyS/article/view/3207/2723
doi: 10.13053/CyS-23-4-3207
Text-image matching
Image annotation
Multimodal information processing
This paper describes the design of the 2017 RedICA: Text-Image Matching (RICATIM) challenge, including the dataset generation, a complete analysis of results, and the descriptions of the top-ranked developed methods. The academic challenge explores the feasibility of a novel binary image classification scenario, where each instance corresponds to the concatenation of learned representations of an image and a word. Instances are labeled as positive if the word is relevant for describing the visual content of the image, and negative otherwise. This novel approach of the image classification problem poses an alternative scenario where any text-image pair can be represented in such space, so any word could be considered for describing an image. The proposed methods are diverse and competitive, showing considerable improvements over the proposed baselines.
Instituto Politécnico Nacional
2019
Artículo
Computación y Sistemas, volumen 23, número 4
Inglés
Pellegrin, L., Loyola González, O., Ortiz Bejar, J., Medina Pérez M. A., Gutiérrez Rodríguez, A. E., Tellez, E. S., Graff, M., Miranda Jiménez, S., Moctezuma, D., García Limón, M., Morales Reyes, A., Reyes García, C. A., Morales, E., Esclalante, H. J., 2019. Image annotation as Text-Image matching: Challenge design and results. Computación y Sistemas, Vol. 23, No. 4, pp. 1305–1321. doi: 10.13053/CyS-23-4-3207
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Versión publicada
publishedVersion - Versión publicada
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