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Found 3 papers, 2 papers with code
Do Neural Networks for Segmentation Understand Insideness?
Only recurrent networks trained with small images learn solutions that generalize well to almost any curve.
Speech Denoising with Auditory Models
Contemporary speech enhancement predominantly relies on audio transforms that are trained to reconstruct a clean speech waveform.
Do Deep Neural Networks for Segmentation Understand Insideness?
At the heart of image segmentation lies the problem of determining whether a pixel is inside or outside a region, which we denote as the "insideness" problem.
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