Adding silence and Gaussian noise as negative training pairs improves self-supervised visual sound source localization, and the authors provide IS3+ and a separability metric.
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Learning from Silence and Noise for Visual Sound Source Localization
Adding silence and Gaussian noise as negative training pairs improves self-supervised visual sound source localization, and the authors provide IS3+ and a separability metric.