Video understanding using multimodal deep learning

Video understanding using multimodal deep learning

<p>Our experience of the world is multimodal, however deep learning networks have been traditionally designed for and trained on unimodal inputs such as images, audio segments or text. In this thesis we develop strategies to exploit multimodal information (in the form of vision, text, speech a...

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Dades bibliogràfiques
Autor principal:	Nagrani, A
Altres autors:	Zisserman, A
Format:	Thesis
Idioma:	English
Publicat:	2020
Matèries:	Computer Vision Machine Learning

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