Invariant Scattering Convolution Networks

Volume: 35, Issue: 8, Pages: 1872 - 1886
Published: Aug 1, 2013
Abstract
A wavelet scattering network computes a translation invariant image representation which is stable to deformations and preserves high-frequency information for classification. It cascades wavelet transform convolutions with nonlinear modulus and averaging operators. The first network layer outputs SIFT-type descriptors, whereas the next layers provide complementary invariant information that improves classification. The mathematical analysis of...
Paper Details
Title
Invariant Scattering Convolution Networks
Published Date
Aug 1, 2013
Volume
35
Issue
8
Pages
1872 - 1886
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