Scaling the Scattering Transform: Deep Hybrid Networks

27 March 2017

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

26 / 26 papers shown

Title
Infinite Class Mixup Thomas Mensink Pascal Mettes 29 2 0 17 May 2023
Image Classification with Small Datasets: Overview and Benchmark Lorenzo Brigato Björn Barz Luca Iocchi Joachim Denzler VLM 30 17 0 23 Dec 2022
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
Wavelet Regularization Benefits Adversarial Training Jun Yan Huilin Yin Xiaoyang Deng Zi-qin Zhao Wancheng Ge Hao Zhang Gerhard Rigoll AAML 19 2 0 08 Jun 2022
Efficient Hybrid Network: Inducting Scattering Features D. Minskiy M. Bober 23 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 32 110 0 04 Jan 2022
$Frequency learning for structured CNN filters with Gaussian fractional derivatives$ Frequency learning for structured CNN filters with Gaussian fractional derivatives Nikhil Saldanha S. Pintea Jan van Gemert Nergis Tomen 30 8 0 12 Nov 2021
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
Signature-Graph Networks Ali Hamdi Flora D. Salim D. Kim Xiaojun Chang 21 1 0 22 Oct 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 Jan van Gemert SupR SSL 32 37 0 07 Jun 2021
Wavelet-Based Dual-Branch Network for Image Demoireing Lin Liu Jianzhuang Liu Shanxin Yuan Greg Slabaugh A. Leonardis Wen-gang Zhou Qi Tian 15 105 0 14 Jul 2020
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 39 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 30 577 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 21 42 0 23 Mar 2019
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet Wieland Brendel Matthias Bethge SSL FAtt 31 557 0 20 Mar 2019
A Learnable ScatterNet: Locally Invariant Convolutional Layers Fergal Cotter N. Kingsbury 17 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 23 7 0 07 Dec 2018
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention Guyue Hu Bo Cui Shan Yu 19 40 0 10 Nov 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 21 84 0 17 Sep 2018
Invariant Information Clustering for Unsupervised Image Classification and Segmentation Xu Ji João F. Henriques Andrea Vedaldi SSL VLM 30 840 0 17 Jul 2018
Generative networks as inverse problems with Scattering transforms Tomás Angles S. Mallat GAN 43 31 0 17 May 2018
Learning Structure and Strength of CNN Filters for Small Sample Size Training Rohit Keshari Mayank Vatsa Richa Singh A. Noore 11 82 0 30 Mar 2018