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...

Полное описание

Библиографические подробности
Главный автор:	Nagrani, A
Другие авторы:	Zisserman, A
Формат:	Диссертация
Язык:	English
Опубликовано:	2020
Предметы:	Computer Vision Machine Learning

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