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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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Cite this as

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

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Additional Info

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