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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.

Data and Resources

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

DOI retrieved: December 16, 2024

Additional Info

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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