Exploiting Cyclic Symmetry in Convolutional Neural Networks

8 February 2016

Papers citing "Exploiting Cyclic Symmetry in Convolutional Neural Networks"

50 / 207 papers shown

Title
GMR-Conv: An Efficient Rotation and Reflection Equivariant Convolution Kernel Using Gaussian Mixture Rings Yuexi Du Jiazhen Zhang Nicha Dvornek J. Onofrey AAML 58 0 0 03 Apr 2025
NdLinear Is All You Need for Representation Learning Alex Reneau Jerry Yao-Chieh Hu Zhongfang Zhuang Ting-Chun Liu HAI 46 0 0 21 Mar 2025
Spectral State Space Model for Rotation-Invariant Visual Representation Learning Sahar Dastani Ali Bahri Moslem Yazdanpanah Mehrdad Noori David Osowiechi ... Farzad Beizaee Milad Cheraghalikhani A. Mondal H. Lombaert Christian Desrosiers 69 0 0 09 Mar 2025
Group Crosscoders for Mechanistic Analysis of Symmetry Liv Gorton 31 1 0 31 Oct 2024
MARs: Multi-view Attention Regularizations for Patch-based Feature Recognition of Space Terrain Timothy Chase Jr Karthik Dantu 33 0 0 07 Oct 2024
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups Zakhar Shumaylov Peter Zaika James Rowbottom Ferdia Sherry Melanie Weber Carola-Bibiane Schönlieb 54 2 0 03 Oct 2024
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 41 0 0 22 Aug 2024
Multi-view Action Recognition via Directed Gromov-Wasserstein Discrepancy Hoang-Quan Nguyen Thanh-Dat Truong Khoa Luu 39 1 0 02 May 2024
How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model Umberto M. Tomasini Matthieu Wyart BDL 46 7 0 16 Apr 2024
Equivariant graph convolutional neural networks for the representation of homogenized anisotropic microstructural mechanical response Ravi G. Patel C. Safta Reese E. Jones AI4CE 43 1 0 05 Apr 2024
A Characterization Theorem for Equivariant Networks with Point-wise Activations Marco Pacini Xiaowen Dong Bruno Lepri G. Santin 46 2 0 17 Jan 2024
Towards Harmonization of SO(3)-Equivariance and Expressiveness: a Hybrid Deep Learning Framework for Electronic-Structure Hamiltonian Prediction Shi Yin Xinyang Pan Xudong Zhu Tianyu Gao Haochong Zhang Feng Wu Lixin He 50 2 0 01 Jan 2024
Affine Invariance in Continuous-Domain Convolutional Neural Networks A. Mohaddes Johannes Lederer 25 1 0 13 Nov 2023
Rotation Invariant Transformer for Recognizing Object in UAVs Shuo Chen Mang Ye Bo Du ViT 50 18 0 05 Nov 2023
E(2) Equivariant Neural Networks for Robust Galaxy Morphology Classification Sneh Pandya Purvik Patel O. Franc Jonathan Blazek 38 1 0 02 Nov 2023
H-NeXt: The next step towards roto-translation invariant networks Tomáš Karella F. Šroubek J. Flusser Jan Blazek Vasek Kosik 29 1 0 02 Nov 2023
Invariance Measures for Neural Networks F. Quiroga J. Torrents-Barrena Laura Lanzarini Domenec Puig-Valls 22 4 0 26 Oct 2023
Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks F. Quiroga Franco Ronchetti Laura Lanzarini A. F. Bariviera 27 34 0 12 Oct 2023
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution Rui Wang E. Hofgard Han Gao Robin Walters Tess E. Smidt AI4CE 49 10 0 03 Oct 2023
Modularity in Deep Learning: A Survey Haozhe Sun Isabelle Guyon MoMe 43 2 0 02 Oct 2023
Learning to Transform for Generalizable Instance-wise Invariance Yan Liu Carlos Esteves Franccois Marelli Stella X. Yu OOD 35 1 0 28 Sep 2023
Learning Linear Groups in Neural Networks Emmanouil Theodosis Karim Helwani Demba E. Ba AI4CE 23 0 0 29 May 2023
Group Equivariant BEV for 3D Object Detection Hongzhi Liu Jian Yang Jianfeng Zhang Dongheng Shao Jielong Guo Shaobo Li Xuan Tang Xian Wei 3DPC 35 0 0 26 Apr 2023
PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural Sensors Haley M. So Laurie Bose Piotr Dudek Gordon Wetzstein 28 4 0 11 Apr 2023
What Affects Learned Equivariance in Deep Image Recognition Models? Robert-Jan Bruintjes Tomasz Motyka Jan van Gemert 34 7 0 05 Apr 2023
Steerable Equivariant Representation Learning Sangnie Bhardwaj Willie McClinton Tongzhou Wang Guillaume Lajoie Chen Sun Phillip Isola Dilip Krishnan OOD LLMSV 34 5 0 22 Feb 2023
Pushing the Limits of Fewshot Anomaly Detection in Industry Vision: Graphcore Guoyang Xie Jingbao Wang Jiaqi Liu Feng Zheng Yaochu Jin 33 64 0 28 Jan 2023
Equivariant and Steerable Neural Networks: A review with special emphasis on the symmetric group Patrick Krüger Hanno Gottschalk 32 1 0 08 Jan 2023
Transferable Energy Storage Bidder Yousuf Baker Ningkun Zheng Bolun Xu 28 8 0 02 Jan 2023
Robust Perception through Equivariance Chengzhi Mao Lingyu Zhang Abhishek Joshi Junfeng Yang Hongya Wang Carl Vondrick BDL AAML 31 7 0 12 Dec 2022
RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network Hanlin Mo Guoying Zhao 27 30 0 21 Nov 2022
Learning unfolded networks with a cyclic group structure Emmanouil Theodosis Demba E. Ba 19 0 0 16 Nov 2022
A PAC-Bayesian Generalization Bound for Equivariant Networks Arash Behboodi Gabriele Cesa Taco S. Cohen 60 17 0 24 Oct 2022
Symmetry Defense Against CNN Adversarial Perturbation Attacks Blerta Lindqvist AAML 40 2 0 08 Oct 2022
Analysis of (sub-)Riemannian PDE-G-CNNs Gijs Bellaard Daan Bon Gautam Pai B. Smets R. Duits AI4CE 37 12 0 03 Oct 2022
Efficient Unsupervised Learning for Plankton Images P. D. Alfano Marco Rando Marco Letizia Francesca Odone Lorenzo Rosasco Vito Paolo Pastore 16 7 0 14 Sep 2022
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation Shuchao Pang Anan Du M. Orgun Yan Wang Quan Z. Sheng Shoujin Wang Xiaoshui Huang Zhewen Yu 34 15 0 29 Jul 2022
Quiver neural networks I. Ganev Robin Walters 39 4 0 26 Jul 2022
DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection Abhinav Kumar Garrick Brazil E. Corona Armin Parchami Xiaoming Liu 3DPC MDE 26 61 0 21 Jul 2022
Maximum Class Separation as Inductive Bias in One Matrix Tejaswi Kasarla Gertjan J. Burghouts Max van Spengler Elise van der Pol Rita Cucchiara Pascal Mettes 31 22 0 17 Jun 2022
Learning with Capsules: A Survey Fabio De Sousa Ribeiro Kevin Duarte Miles Everett Georgios Leontidis M. Shah 3DPC MedIm 44 19 0 06 Jun 2022
Analysis of convolutional neural network image classifiers in a rotationally symmetric model Michael Kohler Benjamin Kohler 33 5 0 11 May 2022
Euclidean Invariant Recognition of 2D Shapes Using Histograms of Magnitudes of Local Fourier-Mellin Descriptors Xinhua Zhang L. Williams 13 1 0 13 Mar 2022
Symmetry Group Equivariant Architectures for Physics A. Bogatskiy S. Ganguly Thomas Kipf Risi Kondor David W. Miller ... Jan T. Offermann M. Pettee P. Shanahan C. Shimmin S. Thais AI4CE 32 27 0 11 Mar 2022
RRL:Regional Rotation Layer in Convolutional Neural Networks Zongbo Hao Tao Zhang MingWang Chen Kaixuan Zhou 21 2 0 25 Feb 2022
Unsupervised Learning of Group Invariant and Equivariant Representations R. Winter Marco Bertolini Tuan Le Frank Noé Djork-Arné Clevert 36 41 0 15 Feb 2022
A Theory of PAC Learnability under Transformation Invariances Hang Shao Omar Montasser Avrim Blum 27 18 0 15 Feb 2022
Knowledge-Integrated Informed AI for National Security Anu Myne Kevin J. Leahy Ryan Soklaski 21 0 0 04 Feb 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics Rui Wang Robin Walters Rose Yu 50 75 0 28 Jan 2022
Complexity from Adaptive-Symmetries Breaking: Global Minima in the Statistical Mechanics of Deep Neural Networks Shaun Li AI4CE 48 0 0 03 Jan 2022