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...
Autori principali: | , , , |
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Natura: | Articolo |
Lingua: | English |
Pubblicazione: |
IEEE
2022-01-01
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Serie: | IEEE Access |
Soggetti: | |
Accesso online: | https://ieeexplore.ieee.org/document/9749114/ |