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...

Bibliografski detalji
Glavni autor:	Nagrani, A
Daljnji autori:	Zisserman, A
Format:	Disertacija
Jezik:	English
Izdano:	2020
Teme:	Computer Vision Machine Learning

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