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Curriculum Audiovisual Learning
[article]
2020
arXiv
pre-print
Associating sound and its producer in complex audiovisual scene is a challenging task, especially when we are lack of annotated training data. In this paper, we present a flexible audiovisual model that introduces a soft-clustering module as the audio and visual content detector, and regards the pervasive property of audiovisual concurrency as the latent supervision for inferring the correlation among detected contents. To ease the difficulty of audiovisual learning, we propose a novel
arXiv:2001.09414v1
fatcat:6775bio7gbhelk565zbzi76yqe