Scattering Networks for Hybrid Representation Learning

Scattering networks are a class of designed Convolutional Neural Networks (CNNs) with fixed weights. We argue they can serve as generic representations for modeling images.

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Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew Blaschko, Eugene Belilovsky (2024). Dataset: Scattering Networks for Hybrid Representation Learning. https://doi.org/10.57702/0ppyi0x6

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Author Edouard Oyallon
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Sergey Zagoruyko
Gabriel Huang
Nikos Komodakis
Simon Lacoste-Julien
Matthew Blaschko
Eugene Belilovsky