Compressing the Input for CNNs with the First-Order Scattering Transform

27 September 2018

Papers citing "Compressing the Input for CNNs with the First-Order Scattering Transform"

6 / 6 papers shown

Title
ScatterFormer: Locally-Invariant Scattering Transformer for Patient-Independent Multispectral Detection of Epileptiform Discharges Rui-Hua Zheng Jun Yu Li Yi Wang Tian Luo Yuguo Yu MedIm 53 4 0 26 Apr 2023
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks Hubert Leterme K. Polisano V. Perrier Alahari Karteek FAtt 58 2 0 19 Sep 2022
Efficient Hybrid Network: Inducting Scattering Features D. Minskiy M. Bober 25 3 0 29 Mar 2022
Harmonic Convolutional Networks based on Discrete Cosine Transform Matej Ulicny V. Krylov Rozenn Dahyot 27 34 0 18 Jan 2020
Decoupled Greedy Learning of CNNs Eugene Belilovsky Michael Eickenberg Edouard Oyallon 25 115 0 23 Jan 2019
Harmonic Networks: Integrating Spectral Information into CNNs Matej Ulicny V. Krylov Rozenn Dahyot 23 7 0 07 Dec 2018