Comparing Learning Methodologies for Self-Supervised Audio-Visual Representation Learning

In recent years, the machine learning community has devoted an increasing attention to self-supervised learning.The performance gap between supervised and self-supervised has become increasingly narrow in many computer vision applications. In this paper, a new self-supervised approach is proposed fo...

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Autori principali: Hacene Terbouche, Liam Schoneveld, Oisin Benson, Alice Othmani
Natura: Articolo
Lingua:English
Pubblicazione: IEEE 2022-01-01
Serie:IEEE Access
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Accesso online:https://ieeexplore.ieee.org/document/9749114/