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Found 3 papers, 1 papers with code
Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring and Activation Function
In this work, first, we analyse deep features with Fourier transform and show that Depth Adaptive Blurring is more effective, as opposed to monotonic blurring.
Robust Image Classification Using A Low-Pass Activation Function and DCT Augmentation
In this work, we instill low-pass filtering into the AF (LP-ReLU) to improve robustness against HFc.
Distortion Robust Image Classification using Deep Convolutional Neural Network with Discrete Cosine Transform
Experimental results demonstrate that once trained, DCT-Net not only generalizes well to a variety of unseen image distortions but also outperforms other methods in the literature.
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