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Harmonic Networks: Deep Translation and Rotation Equivariance

14 December 2016

Daniel E. Worrall

Stephan J. Garbin

Daniyar Turmukhambetov

Gabriel J. Brostow

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Papers citing "Harmonic Networks: Deep Translation and Rotation Equivariance"

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Title
Circular-Symmetric Correlation Layer based on FFT Bahar Azari Deniz Erdogmus 45 1 0 26 Jul 2021
6DCNN with roto-translational convolution filters for volumetric data processing Dmitrii Zhemchuzhnikov Ilia Igashov Sergei Grudinin 3DPC 73 2 0 26 Jul 2021
Invariance-based Multi-Clustering of Latent Space Embeddings for Equivariant Learning Minh Nguyen A. Roy Haoran Zhang BDL DRL 97 1 0 25 Jul 2021
Geometric Data Augmentation Based on Feature Map Ensemble Takashi Shibata Masayuki Tanaka Masatoshi Okutomi 67 0 0 22 Jul 2021
Parametric Scattering Networks Shanel Gauthier Benjamin Thérien Laurent Alsene-Racicot Muawiz Chaudhary Irina Rish Eugene Belilovsky Michael Eickenberg Guy Wolf 88 18 0 20 Jul 2021
PICASO: Permutation-Invariant Cascaded Attentional Set Operator Samira Zare H. Nguyen 101 5 0 17 Jul 2021
Universal approximation and model compression for radial neural networks I. Ganev Twan van Laarhoven Robin Walters 94 10 0 06 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 115 69 0 02 Jul 2021
Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks Eduardo Fonseca Andrés Ferraro Xavier Serra AI4TS 131 9 0 01 Jul 2021
Alias-Free Generative Adversarial Networks Tero Karras M. Aittala S. Laine Erik Härkönen Janne Hellsten J. Lehtinen Timo Aila GAN 283 1,606 0 23 Jun 2021
Training or Architecture? How to Incorporate Invariance in Neural Networks Kanchana Vaishnavi Gandikota Jonas Geiping Zorah Lähner Adam Czapliñski Michael Moeller 3DPC OOD 61 10 0 18 Jun 2021
Equivariance-bridged SO(2)-Invariant Representation Learning using Graph Convolutional Network Sungwon Hwang Hyungtae Lim Hyun Myung 47 2 0 18 Jun 2021
Equivariant Networks for Pixelized Spheres Mehran Shakerinava Siamak Ravanbakhsh 3DPC 91 19 0 12 Jun 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 91 24 0 11 Jun 2021
Group Equivariant Subsampling Jin Xu Hyunjik Kim Tom Rainforth Yee Whye Teh 67 22 0 10 Jun 2021
Exploiting Learned Symmetries in Group Equivariant Convolutions A. Lengyel Jan van Gemert 76 5 0 09 Jun 2021
Rotating spiders and reflecting dogs: a class conditional approach to learning data augmentation distributions Scott Mahan Henry Kvinge T. Doster OOD 20 3 0 07 Jun 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 113 37 0 07 Jun 2021
Commutative Lie Group VAE for Disentanglement Learning Xinqi Zhu Chang Xu Dacheng Tao CoGe DRL 85 25 0 07 Jun 2021
VolterraNet: A higher order convolutional network with group equivariance for homogeneous manifolds Monami Banerjee Rudrasis Chakraborty Jose J. Bouza B. Vemuri 52 11 0 05 Jun 2021
DISCO: accurate Discrete Scale Convolutions Ivan Sosnovik A. Moskalev A. Smeulders 79 32 0 04 Jun 2021
SE(3)-equivariant prediction of molecular wavefunctions and electronic densities Oliver T. Unke Mihail Bogojeski M. Gastegger Mario Geiger Tess E. Smidt Klaus-Robert Muller 86 94 0 04 Jun 2021
Mesh-based graph convolutional neural networks for modeling materials with microstructure A. Frankel Cosmin Safta Coleman Alleman Reese E. Jones 74 15 0 04 Jun 2021
Symmetry-via-Duality: Invariant Neural Network Densities from Parameter-Space Correlators Anindita Maiti Keegan Stoner James Halverson 75 20 0 01 Jun 2021
Geometric Deep Learning and Equivariant Neural Networks Jan E. Gerken J. Aronsson Oscar Carlsson Hampus Linander F. Ohlsson Christoffer Petersson Daniel Persson MLT 139 72 0 28 May 2021
Feature Space Targeted Attacks by Statistic Alignment Lianli Gao Yaya Cheng Qilong Zhang Xing Xu Jingkuan Song AAML 77 33 0 25 May 2021
FILTRA: Rethinking Steerable CNN by Filter Transform Yue Liu Qili Wang G. Lee 46 4 0 25 May 2021
Rotation invariant CNN using scattering transform for image classification Rosemberg Rodriguez Eva Dokládalová P. Dokládal 57 17 0 21 May 2021
Deep Permutation Equivariant Structure from Motion Dror Moran Hodaya Koslowsky Yoni Kasten Haggai Maron Meirav Galun Ronen Basri 3DPC 75 18 0 14 Apr 2021
Autoequivariant Network Search via Group Decomposition Sourya Basu A. Magesh Harshit Yadav Lav Varshney 71 6 0 10 Apr 2021
Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images Yanwen Li Luyang Luo Huangjing Lin Hao Chen Pheng-Ann Heng 93 54 0 07 Apr 2021
Generalization capabilities of translationally equivariant neural networks S. S. Krishna Chaitanya Bulusu Matteo Favoni A. Ipp David I. Müller Daniel Schuh AI4CE 92 21 0 26 Mar 2021
Equivariant Point Network for 3D Point Cloud Analysis Haiwei Chen Shichen Liu Weikai Chen Hao Li 3DPC 94 100 0 25 Mar 2021
ReDet: A Rotation-equivariant Detector for Aerial Object Detection Jiaming Han Jian Ding Nan Xue Guisong Xia 109 545 0 13 Mar 2021
On the geometric and Riemannian structure of the spaces of group equivariant non-expansive operators Pasquale Cascarano Patrizio Frosini Nicola Quercioli A. Saki 54 3 0 03 Mar 2021
Abelian Neural Networks Kenshi Abe Takanori Maehara Issei Sato 45 2 0 24 Feb 2021
Equivariant neural networks for inverse problems E. Celledoni Matthias Joachim Ehrhardt Christian Etmann B. Owren Carola-Bibiane Schönlieb Ferdia Sherry MedIm AI4CE 83 27 0 23 Feb 2021
Rotation-Equivariant Deep Learning for Diffusion MRI Philip Muller Vladimir Golkov V. Tomassini Zorah Lähner DiffM MedIm 72 28 0 13 Feb 2021
Spectral Leakage and Rethinking the Kernel Size in CNNs Nergis Tomen Jan van Gemert AAML 61 19 0 25 Jan 2021
Rotation Equivariant Siamese Networks for Tracking D. K. Gupta Devanshu Arya E. Gavves 82 37 0 24 Dec 2020
LieTransformer: Equivariant self-attention for Lie Groups M. Hutchinson Charline Le Lan Sheheryar Zaidi Emilien Dupont Yee Whye Teh Hyunjik Kim 138 111 0 20 Dec 2020
Augmentation Inside the Network Maciej Sypetkowski Jakub Jasiulewicz Z. Wojna OOD 32 2 0 19 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 334 1,452 0 14 Dec 2020
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models Tianlong Chen Jonathan Frankle Shiyu Chang Sijia Liu Yang Zhang Michael Carbin Zhangyang Wang 97 123 0 12 Dec 2020
Rotation-Invariant Autoencoders for Signals on Spheres Suhas Lohit Shubhendu Trivedi MDE 61 5 0 08 Dec 2020
Learning Equivariant Representations Carlos Esteves BDL 61 0 0 04 Dec 2020
Kernel-convoluted Deep Neural Networks with Data Augmentation Minjin Kim Young-geun Kim Dongha Kim Yongdai Kim M. Paik 36 0 0 04 Dec 2020
Truly shift-invariant convolutional neural networks Anadi Chaman Ivan Dokmanić 117 72 0 28 Nov 2020
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes P. Holderrieth M. Hutchinson Yee Whye Teh BDL 110 30 0 25 Nov 2020
Learnable Gabor modulated complex-valued networks for orientation robustness Felix Richards A. Paiement Xianghua Xie Elisabeth Sola Pierre-Alain Duc 35 2 0 23 Nov 2020