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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Dettagli Bibliografici
Autore principale:	Nagrani, A
Altri autori:	Zisserman, A
Natura:	Tesi
Lingua:	English
Pubblicazione:	2020
Soggetti:	Computer Vision Machine Learning

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