[D] Fourier Transform-based Convolutional Neural Networks

Good day:



In traditional CNNs, the goal is to optimize the kernel/filter parameters through backpropagation. We all know that performing a convolution operation on an image and a kernel is mathematically equivalent to first applying a Fourier Transform to both the input image and the kernel, followed by a multiplication of their Fourier forms, and concluding with an inverse Fourier Transform on the result. Given that the latter approach is far more efficient, I am wondering if there is any …

backpropagation cnns computervision convolution convolutional neural networks filter forms fourier good image kernel networks neural networks parameters through