Invariant Scattering Convolution Networks

  title={Invariant Scattering Convolution Networks},
  author={Joan Bruna and St{\'e}phane Mallat},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
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 wavelet scattering networks explains important… CONTINUE READING
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