Using DFT magnitude as an autoencoder reconstruction target improves CIFAR-10 linear-probe accuracy over raw-pixel reconstruction, from 35.29% to 46.05% validation top-1.
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Employing Discrete Fourier Transform in Representational Learning
Using DFT magnitude as an autoencoder reconstruction target improves CIFAR-10 linear-probe accuracy over raw-pixel reconstruction, from 35.29% to 46.05% validation top-1.