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Audio-Visual Scene Analysis with Self-Supervised Multisensory Features
[article]
2018
arXiv
pre-print
The thud of a bouncing ball, the onset of speech as lips open -- when visual and audio events occur together, it suggests that there might be a common, underlying event that produced both signals. In this paper, we argue that the visual and audio components of a video signal should be modeled jointly using a fused multisensory representation. We propose to learn such a representation in a self-supervised way, by training a neural network to predict whether video frames and audio are temporally
arXiv:1804.03641v2
fatcat:ah3cazadn5fzzhzqeyrvhs73yy