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UNITOR @ DANKMEMES: Combining Convolutional Models and Transformer-based architectures for accurate MEME management

This paper describes the UNITOR system that participated to the “multimoDal Artefacts recogNition Knowledge for MEMES” (DANKMEMES) task within the context of EVALITA 2020. UNITOR implements a neural model which combines a Deep Convolutional Neural Network to encode visual information of input images...

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Detalles Bibliográficos
Autores principales: Breazzano, Claudia, Rubino, Edoardo, Croce, Danilo, Basili, Roberto
Formato: Chapter
Lenguaje:Inglês
Publicado: Accademia University Press 2020
Acceso en línea:https://doi.org/10.4000/books.aaccademia.7420
https://hdl.handle.net/20.500.13089/1dj3
https://books.openedition.org/aaccademia/7420
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