Deep Roto-Translation Scattering for Object Classification

30 December 2014

Papers citing "Deep Roto-Translation Scattering for Object Classification"

50 / 122 papers shown

Title
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan Jan van Gemert 213 233 0 16 Mar 2020
PDE-based Group Equivariant Convolutional Neural Networks B. Smets J. Portegies Erik J. Bekkers R. Duits AI4CE 21 53 0 24 Jan 2020
Harmonic Convolutional Networks based on Discrete Cosine Transform Matej Ulicny V. Krylov Rozenn Dahyot 27 34 0 18 Jan 2020
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 45 506 0 19 Nov 2019
AETv2: AutoEncoding Transformations for Self-Supervised Representation Learning by Minimizing Geodesic Distances in Lie Groups Feng Lin Haohang Xu Houqiang Li H. Xiong Guo-Jun Qi 26 4 0 16 Nov 2019
Understanding Graph Neural Networks with Generalized Geometric Scattering Transforms Michael Perlmutter Alexander Tong F. Gao Guy Wolf M. Hirn GNN 27 9 0 14 Nov 2019
Complex Transformer: A Framework for Modeling Complex-Valued Sequence Muqiao Yang Martin Q. Ma Dongyu Li Yao-Hung Hubert Tsai Ruslan Salakhutdinov ViT 19 37 0 22 Oct 2019
B-Spline CNNs on Lie Groups Erik J. Bekkers AI4CE 40 129 0 26 Sep 2019
Learning Generalized Transformation Equivariant Representations via Autoencoding Transformations Guo-Jun Qi Liheng Zhang Tianlin Li OOD 25 39 0 19 Jun 2019
Stacked Capsule Autoencoders Adam R. Kosiorek S. Sabour Yee Whye Teh Geoffrey E. Hinton OCL 19 262 0 17 Jun 2019
Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade T. Lindeberg 27 19 0 29 May 2019
Geometric Wavelet Scattering Networks on Compact Riemannian Manifolds Michael Perlmutter Feng Gao Guy Wolf M. Hirn 19 13 0 24 May 2019
Deep Comprehensive Correlation Mining for Image Clustering Jianlong Wu Keyu Long Fei Wang Chao Qian Cheng Li Zhouchen Lin H. Zha 20 160 0 15 Apr 2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods Guo-Jun Qi Jiebo Luo SSL 14 238 0 27 Mar 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
Gauge Equivariant Convolutional Networks and the Icosahedral CNN Taco S. Cohen Maurice Weiler Berkay Kicanaoglu Max Welling 61 404 0 11 Feb 2019
Scattering Statistics of Generalized Spatial Poisson Point Processes Michael Perlmutter Jieqian He M. Hirn 12 2 0 10 Feb 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
Greedy Layerwise Learning Can Scale to ImageNet Eugene Belilovsky Michael Eickenberg Edouard Oyallon 17 180 0 29 Dec 2018
Kymatio: Scattering Transforms in Python M. Andreux Tomás Angles Georgios Exarchakis R. Leonarduzzi G. Rochette ... M. Hirn Edouard Oyallon Sixhin Zhang Carmine-Emanuele Cella Michael Eickenberg 32 158 0 28 Dec 2018
On Lazy Training in Differentiable Programming Lénaïc Chizat Edouard Oyallon Francis R. Bach 58 808 0 19 Dec 2018
Geometric Scattering on Manifolds Michael Perlmutter Guy Wolf M. Hirn GNN 26 9 0 15 Dec 2018
Harmonic Networks: Integrating Spectral Information into CNNs Matej Ulicny V. Krylov Rozenn Dahyot 23 7 0 07 Dec 2018
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 310 0 05 Nov 2018
Geometric Scattering for Graph Data Analysis Feng Gao Guy Wolf M. Hirn GNN 32 111 0 07 Oct 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
ManifoldNet: A Deep Network Framework for Manifold-valued Data Rudrasis Chakraborty Jose J. Bouza J. Manton B. Vemuri 24 16 0 11 Sep 2018
Discriminative Learning of Similarity and Group Equivariant Representations Shubhendu Trivedi 27 1 0 30 Aug 2018
Isometric Transformation Invariant Graph-based Deep Neural Network Renata Khasanova P. Frossard 35 3 0 21 Aug 2018
DeSTNet: Densely Fused Spatial Transformer Networks R. Annunziata Christos Sagonas Jacques Calì 33 6 0 11 Jul 2018
Diffusion Scattering Transforms on Graphs Fernando Gama Alejandro Ribeiro Joan Bruna GNN 42 100 0 22 Jun 2018
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks Xiuyuan Cheng Qiang Qiu Robert Calderbank Guillermo Sapiro 30 43 0 17 May 2018
Generative networks as inverse problems with Scattering transforms Tomás Angles S. Mallat GAN 43 31 0 17 May 2018
CubeNet: Equivariance to 3D Rotation and Translation Daniel E. Worrall Gabriel J. Brostow 3DPC 26 141 0 12 Apr 2018
What Do We Understand About Convolutional Networks? Isma Hadji Richard P. Wildes FAtt 30 98 0 23 Mar 2018
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 78 3,266 0 21 Mar 2018
From BoW to CNN: Two Decades of Texture Representation for Texture Classification Li Liu Jie Chen Paul Fieguth Guoying Zhao Rama Chellappa M. Pietikäinen 3DV 39 332 0 31 Jan 2018
Non-Parametric Transformation Networks Dipan K. Pal Marios Savvides 24 7 0 14 Jan 2018
Interpretable Transformations with Encoder-Decoder Networks Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow DRL 27 101 0 19 Oct 2017
Convolutional Networks for Spherical Signals Taco S. Cohen Mario Geiger Jonas Köhler Max Welling 38 70 0 14 Sep 2017
Visualizing and Improving Scattering Networks Fergal Cotter N. Kingsbury 9 16 0 05 Sep 2017
Texture and Structure Incorporated ScatterNet Hybrid Deep Learning Network (TS-SHDL) For Brain Matter Segmentation Amarjot Singh Devamanyu Hazarika Aniruddha Bhattacharya 30 11 0 30 Aug 2017
Efficient Convolutional Network Learning using Parametric Log based Dual-Tree Wavelet ScatterNet Amarjot Singh N. Kingsbury 27 26 0 30 Aug 2017
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey Hirokatsu Kataoka Soma Shirakabe Yun He S. Ueta Teppei Suzuki ... Ryousuke Takasawa Masataka Fuchida Yudai Miyashita Kazushige Okayasu Yuta Matsuzaki 30 1 0 20 Jul 2017
Linear Time Complexity Deep Fourier Scattering Network and Extension to Nonlinear Invariants Randall Balestriero H. Glotin 8 7 0 18 Jul 2017
Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision Xinshuo Weng Shangxuan Wu Fares N. Beainy Kris Kitani ObjD 29 12 0 19 Jun 2017
Group Invariance, Stability to Deformations, and Complexity of Deep Convolutional Representations A. Bietti Julien Mairal 26 8 0 09 Jun 2017
Dynamic Steerable Blocks in Deep Residual Networks J. Jacobsen Bert de Brabandere A. Smeulders 22 28 0 02 Jun 2017
Deep Complex Networks C. Trabelsi O. Bilaniuk Ying Zhang Dmitriy Serdyuk Sandeep Subramanian J. F. Santos Soroush Mehri Negar Rostamzadeh Yoshua Bengio C. Pal 39 824 0 27 May 2017
Scaling the Scattering Transform: Deep Hybrid Networks Edouard Oyallon Eugene Belilovsky Sergey Zagoruyko 28 157 0 27 Mar 2017