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# Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks.

CVPR Workshops, pp.4650-4659, (2021)

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Abstract

In this paper, we propose a novel layer based on fast Walsh-Hadamard transform (WHT) and smooth-thresholding to replace $1\times 1$ convolution layers in deep neural networks. In the WHT domain, we denoise the transform domain coefficients using the new smooth-thresholding non-linearity, a smoothed version of the well-known soft-thresho...More

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Author
Hongyi Pan
Diaa Dabawi
Ahmet Enis Cetin
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