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Title

Title
Relaxed Rotational Equivariance via $G$ -Biases in Vision Zhiqiang Wu Licheng Sun Yingjie Liu Jian Yang Hanlin Dong S. J. Lin Xuan Tang Jinpeng Mi Bo Jin Xian Wei 225 0 0 22 Aug 2024
Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks F. Quiroga Franco Ronchetti Laura Lanzarini A. F. Bariviera 139 46 0 12 Oct 2023
Analysis of convolutional neural network image classifiers in a rotationally symmetric modelIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022 Michael Kohler Benjamin Kohler 121 6 0 11 May 2022
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scalesJournal of Mathematical Imaging and Vision (JMIV), 2021 Ylva Jansson T. Lindeberg 168 27 0 11 Jun 2021
More Is More -- Narrowing the Generalization Gap by Adding Classification Heads Roee Cates D. Weinshall OOD 78 0 0 09 Feb 2021
LGN-CNN: a biologically inspired CNN architectureNeural Networks (NN), 2019 F. Bertoni G. Citti A. Sarti 130 26 0 14 Nov 2019
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks Xiuyuan Cheng Qiang Qiu Robert Calderbank Guillermo Sapiro 148 45 0 17 May 2018
Non-Parametric Transformation Networks Dipan K. Pal Marios Savvides 253 7 0 14 Jan 2018
Deformable Classifiers Jiajun Shen Y. Amit 69 0 0 18 Dec 2017
Deep Rotation Equivariant Network Junying Li Zichen Yang Haifeng Liu Deng Cai 208 61 0 24 May 2017
Oriented Response NetworksComputer Vision and Pattern Recognition (CVPR), 2017 Yanzhao Zhou QiXiang Ye Qiang Qiu Jianbin Jiao 203 277 0 07 Jan 2017
Learning rotation invariant convolutional filters for texture classification Diego Marcos Michele Volpi D. Tuia 185 150 0 22 Apr 2016
Exploiting Cyclic Symmetry in Convolutional Neural Networks Sander Dieleman J. Fauw Koray Kavukcuoglu 287 374 0 08 Feb 2016
Gradual DropIn of Layers to Train Very Deep Neural Networks L. Smith Emily M. Hand T. Doster AI4CE 138 36 0 22 Nov 2015

Title

Relaxed Rotational Equivariance via

G

225

22 Aug 2024

Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks

139

12 Oct 2023

Analysis of convolutional neural network image classifiers in a rotationally symmetric modelIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022

Michael Kohler

Benjamin Kohler

121

11 May 2022

Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scalesJournal of Mathematical Imaging and Vision (JMIV), 2021

Ylva Jansson

T. Lindeberg

168

11 Jun 2021

More Is More -- Narrowing the Generalization Gap by Adding Classification Heads

Roee Cates

D. Weinshall

OOD

09 Feb 2021

LGN-CNN: a biologically inspired CNN architectureNeural Networks (NN), 2019

F. Bertoni

G. Citti

A. Sarti

130

14 Nov 2019

RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks

148

17 May 2018

Non-Parametric Transformation Networks

Dipan K. Pal

Marios Savvides

253

14 Jan 2018

Deformable Classifiers

Jiajun Shen

Y. Amit

18 Dec 2017

Deep Rotation Equivariant Network

208

24 May 2017

Oriented Response NetworksComputer Vision and Pattern Recognition (CVPR), 2017

203

277

07 Jan 2017

Learning rotation invariant convolutional filters for texture classification

Diego Marcos

Michele Volpi

D. Tuia

185

150

22 Apr 2016

Exploiting Cyclic Symmetry in Convolutional Neural Networks

Sander Dieleman

J. Fauw

Koray Kavukcuoglu

287

374

08 Feb 2016

Gradual DropIn of Layers to Train Very Deep Neural Networks

138

22 Nov 2015

Title
Relaxed Rotational Equivariance via $G$ -Biases in Vision Zhiqiang Wu Licheng Sun Yingjie Liu Jian Yang Hanlin Dong S. J. Lin Xuan Tang Jinpeng Mi Bo Jin Xian Wei 225 0 0 22 Aug 2024
Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks F. Quiroga Franco Ronchetti Laura Lanzarini A. F. Bariviera 139 46 0 12 Oct 2023
Analysis of convolutional neural network image classifiers in a rotationally symmetric modelIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022 Michael Kohler Benjamin Kohler 121 6 0 11 May 2022
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scalesJournal of Mathematical Imaging and Vision (JMIV), 2021 Ylva Jansson T. Lindeberg 168 27 0 11 Jun 2021
More Is More -- Narrowing the Generalization Gap by Adding Classification Heads Roee Cates D. Weinshall OOD 78 0 0 09 Feb 2021
LGN-CNN: a biologically inspired CNN architectureNeural Networks (NN), 2019 F. Bertoni G. Citti A. Sarti 130 26 0 14 Nov 2019
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks Xiuyuan Cheng Qiang Qiu Robert Calderbank Guillermo Sapiro 148 45 0 17 May 2018
Non-Parametric Transformation Networks Dipan K. Pal Marios Savvides 253 7 0 14 Jan 2018
Deformable Classifiers Jiajun Shen Y. Amit 69 0 0 18 Dec 2017
Deep Rotation Equivariant Network Junying Li Zichen Yang Haifeng Liu Deng Cai 208 61 0 24 May 2017
Oriented Response NetworksComputer Vision and Pattern Recognition (CVPR), 2017 Yanzhao Zhou QiXiang Ye Qiang Qiu Jianbin Jiao 203 277 0 07 Jan 2017
Learning rotation invariant convolutional filters for texture classification Diego Marcos Michele Volpi D. Tuia 185 150 0 22 Apr 2016
Exploiting Cyclic Symmetry in Convolutional Neural Networks Sander Dieleman J. Fauw Koray Kavukcuoglu 287 374 0 08 Feb 2016
Gradual DropIn of Layers to Train Very Deep Neural Networks L. Smith Emily M. Hand T. Doster AI4CE 138 36 0 22 Nov 2015

Title

Relaxed Rotational Equivariance via