25 citations · 33 across the 10 of their papers we have counts for
3 papers · 1 filter
Frequency learning for structured CNN filters with Gaussian fractional derivatives
Nikhil Saldanha, Silvia L. Pintea, Jan C. van Gemert +1
Frequency information lies at the base of discriminating between textures, and therefore between different objects. Classical CNN architectures limit the frequency learning through…
Resolution learning in deep convolutional networks using scale-space theory
Silvia L. Pintea, Nergis Tomen, Stanley F. Goes +2
Resolution in deep convolutional neural networks (CNNs) is typically bounded by the receptive field size through filter sizes, and subsampling layers or strided convolutions on fea…
Spectral Leakage and Rethinking the Kernel Size in CNNs
Nergis Tomen, Jan van Gemert
Convolutional layers in CNNs implement linear filters which decompose the input into different frequency bands. However, most modern architectures neglect standard principles of fi…