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cs.CV2021
Truly shift-equivariant convolutional neural networks with adaptive polyphase upsampling
Anadi Chaman, Ivan Dokmanić
Convolutional neural networks lack shift equivariance due to the presence of downsampling layers. In image classification, adaptive polyphase downsampling (APS-D) was recently prop…
cs.CV2020
Truly shift-invariant convolutional neural networks
Anadi Chaman, Ivan Dokmanić
Thanks to the use of convolution and pooling layers, convolutional neural networks were for a long time thought to be shift-invariant. However, recent works have shown that the out…
cs.CV2020★ 3 cited
Learning Multiscale Convolutional Dictionaries for Image Reconstruction
Tianlin Liu, Anadi Chaman, David Belius +1
Convolutional neural networks (CNNs) have been tremendously successful in solving imaging inverse problems. To understand their success, an effective strategy is to construct simpl…