Scaling the Scattering Transform: Deep Hybrid Networks

27 March 2017

Papers citing "Scaling the Scattering Transform: Deep Hybrid Networks"

19 / 19 papers shown

Title
Infinite Class Mixup Thomas Mensink Pascal Mettes 29 2 0 17 May 2023
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks Hubert Leterme K. Polisano V. Perrier Alahari Karteek FAtt 38 2 0 19 Sep 2022
Efficient Hybrid Network: Inducting Scattering Features D. Minskiy M. Bober 15 3 0 29 Mar 2022
Learning Operators with Coupled Attention Georgios Kissas Jacob H. Seidman Leonardo Ferreira Guilhoto V. Preciado George J. Pappas P. Perdikaris 24 109 0 04 Jan 2022
Hybrid BYOL-ViT: Efficient approach to deal with small datasets Safwen Naimi Rien van Leeuwen W. Souidène S. B. Saoud SSL ViT 25 2 0 08 Nov 2021
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification Lorenzo Brigato Björn Barz Luca Iocchi Joachim Denzler 30 16 0 30 Aug 2021
Concurrent Discrimination and Alignment for Self-Supervised Feature Learning Anjan Dutta Massimiliano Mancini Zeynep Akata SSL 22 0 0 19 Aug 2021
Resolution learning in deep convolutional networks using scale-space theory Silvia L.Pintea Nergis Tomen Stanley F. Goes Marco Loog J. C. V. Gemert SupR SSL 24 37 0 07 Jun 2021
A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth Yiping Lu Chao Ma Yulong Lu Jianfeng Lu Lexing Ying MLT 33 78 0 11 Mar 2020
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature Mang Ye Xu-Yao Zhang PongChi Yuen Shih-Fu Chang SSL 25 577 0 06 Apr 2019
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations Guo-Jun Qi Liheng Zhang Chang Wen Chen Qi Tian DRL 19 42 0 23 Mar 2019
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet Wieland Brendel Matthias Bethge SSL FAtt 26 557 0 20 Mar 2019
A Learnable ScatterNet: Locally Invariant Convolutional Layers Fergal Cotter N. Kingsbury 13 22 0 07 Mar 2019
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data Liheng Zhang Guo-Jun Qi Liqiang Wang Jiebo Luo 14 202 0 14 Jan 2019
Harmonic Networks: Integrating Spectral Information into CNNs Matej Ulicny V. Krylov Rozenn Dahyot 18 7 0 07 Dec 2018
A Kernel Perspective for Regularizing Deep Neural Networks A. Bietti Grégoire Mialon Dexiong Chen Julien Mairal 11 15 0 30 Sep 2018
Scattering Networks for Hybrid Representation Learning Edouard Oyallon Sergey Zagoruyko Gabriel Huang N. Komodakis Simon Lacoste-Julien Matthew Blaschko Eugene Belilovsky 13 84 0 17 Sep 2018
Invariant Information Clustering for Unsupervised Image Classification and Segmentation Xu Ji João F. Henriques Andrea Vedaldi SSL VLM 16 839 0 17 Jul 2018
Generative networks as inverse problems with Scattering transforms Tomás Angles S. Mallat GAN 28 31 0 17 May 2018