Exploiting Cyclic Symmetry in Convolutional Neural Networks

8 February 2016

Papers citing "Exploiting Cyclic Symmetry in Convolutional Neural Networks"

50 / 207 papers shown

Title
Symmetry-aware Neural Architecture for Embodied Visual Navigation Shuang Liu Takayuki Okatani 34 1 0 17 Dec 2021
Rotation Equivariant 3D Hand Mesh Generation from a Single RGB Image Joshua Mitton Chaitanya Kaul Roderick Murray-Smith 3DH 20 0 0 25 Nov 2021
Equivariant Deep Dynamical Model for Motion Prediction Bahar Azari Deniz Erdoğmuş 25 1 0 02 Nov 2021
NeRV: Neural Representations for Videos Hao Chen Bo He Hanyu Wang Yixuan Ren Ser-Nam Lim Abhinav Shrivastava 23 244 0 26 Oct 2021
SE(3) Equivariant Graph Neural Networks with Complete Local Frames Weitao Du He Zhang Yuanqi Du Qi Meng Wei Chen Jia Zhang Tie-Yan Liu 61 82 0 26 Oct 2021
Learning Partial Equivariances from Data David W. Romero Suhas Lohit 23 28 0 19 Oct 2021
Nonlinearities in Steerable SO(2)-Equivariant CNNs Daniel Franzen Michael Wand 43 3 0 14 Sep 2021
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods Tobias Alt Karl Schrader Joachim Weickert Pascal Peter M. Augustin 32 4 0 31 Aug 2021
Rotaflip: A New CNN Layer for Regularization and Rotational Invariance in Medical Images Juan P. Vigueras-Guillén Joan Lasenby F. Seeliger OOD MedIm 25 2 0 05 Aug 2021
Circular-Symmetric Correlation Layer based on FFT Bahar Azari Deniz Erdogmus 36 1 0 26 Jul 2021
Universal approximation and model compression for radial neural networks I. Ganev Twan van Laarhoven Robin Walters 27 8 0 06 Jul 2021
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning Bianli Du Xiang Gao Wei Hu Xin Li 3DPC SSL 20 81 0 05 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 46 65 0 02 Jul 2021
Improving Sound Event Classification by Increasing Shift Invariance in Convolutional Neural Networks Eduardo Fonseca Andrés Ferraro Xavier Serra AI4TS 27 9 0 01 Jul 2021
Learning Equivariant Energy Based Models with Equivariant Stein Variational Gradient Descent P. Jaini Lars Holdijk Max Welling 41 11 0 15 Jun 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 13 23 0 11 Jun 2021
Group Equivariant Subsampling Jin Xu Hyunjik Kim Tom Rainforth Yee Whye Teh 26 21 0 10 Jun 2021
Commutative Lie Group VAE for Disentanglement Learning Xinqi Zhu Chang Xu Dacheng Tao CoGe DRL 45 22 0 07 Jun 2021
Mesh-based graph convolutional neural networks for modeling materials with microstructure A. Frankel C. Safta Coleman Alleman Reese E. Jones 30 15 0 04 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 13 67 0 28 May 2021
Self-Supervised Graph Representation Learning via Topology Transformations Xiang Gao Wei Hu Guo-Jun Qi SSL 27 4 0 25 May 2021
E(n) Equivariant Normalizing Flows Victor Garcia Satorras Emiel Hoogeboom F. Fuchs Ingmar Posner Max Welling BDL 39 170 0 19 May 2021
Relative stability toward diffeomorphisms indicates performance in deep nets Leonardo Petrini Alessandro Favero Mario Geiger Matthieu Wyart OOD 38 15 0 06 May 2021
Symmetry reduction for deep reinforcement learning active control of chaotic spatiotemporal dynamics Kevin Zeng M. Graham AI4CE 18 22 0 09 Apr 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Mamshad Nayeem Rizve Salman Khan Fahad Shahbaz Khan M. Shah 41 109 0 01 Mar 2021
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations Xiang Gao Wei Hu Guo-Jun Qi 37 6 0 01 Mar 2021
Equivariant neural networks for inverse problems E. Celledoni Matthias Joachim Ehrhardt Christian Etmann B. Owren Carola-Bibiane Schönlieb Ferdia Sherry MedIm AI4CE 22 26 0 23 Feb 2021
More Is More -- Narrowing the Generalization Gap by Adding Classification Heads Roee Cates D. Weinshall OOD 18 0 0 09 Feb 2021
Adjoint Rigid Transform Network: Task-conditioned Alignment of 3D Shapes Keyang Zhou Bharat Lal Bhatnagar Bernt Schiele Gerard Pons-Moll 3DPC 32 5 0 01 Feb 2021
Spectral Roll-off Points Variations: Exploring Useful Information in Feature Maps by Its Variations Yunkai Yu Yuyang You Zhihong Yang Guozheng Liu Peiyao Li Zhicheng Yang Wenjing Shan 27 2 0 31 Jan 2021
Sum-Rate-Distortion Function for Indirect Multiterminal Source Coding in Federated Learning Naifu Zhang M. Tao Jia Wang FedML 22 4 0 21 Jan 2021
Rotation Equivariant Siamese Networks for Tracking D. K. Gupta Devanshu Arya E. Gavves 31 36 0 24 Dec 2020
Learning Equivariant Representations Carlos Esteves BDL 32 0 0 04 Dec 2020
Kernel-convoluted Deep Neural Networks with Data Augmentation Minjin Kim Young-geun Kim Dongha Kim Yongdai Kim M. Paik 27 0 0 04 Dec 2020
Wide-Area Crowd Counting: Multi-View Fusion Networks for Counting in Large Scenes Qi Zhang Antoni B. Chan 16 17 0 02 Dec 2020
Truly shift-invariant convolutional neural networks Anadi Chaman Ivan Dokmanić 23 68 0 28 Nov 2020
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes P. Holderrieth M. Hutchinson Yee Whye Teh BDL 41 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 19 2 0 23 Nov 2020
Online Ensemble Model Compression using Knowledge Distillation Devesh Walawalkar Zhiqiang Shen Marios Savvides 19 51 0 15 Nov 2020
Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization Shidong Wang Yi Ren G. Parr Yu Guan Ling Shao 12 19 0 11 Nov 2020
Correlator Convolutional Neural Networks: An Interpretable Architecture for Image-like Quantum Matter Data Cole Miles A. Bohrdt Ruihan Wu C. Chiu Muqing Xu G. Ji M. Greiner Kilian Q. Weinberger E. Demler Eun-Ah Kim 21 42 0 06 Nov 2020
Trajectory Prediction using Equivariant Continuous Convolution Robin Walters Jinxi Li Rose Yu 26 44 0 21 Oct 2020
Rotation Invariant Aerial Image Retrieval with Group Convolutional Metric Learning Hyunseung Chung Woo-Jeoung Nam Seong-Whan Lee 19 3 0 19 Oct 2020
Group Equivariant Stand-Alone Self-Attention For Vision David W. Romero Jean-Baptiste Cordonnier MDE 26 58 0 02 Oct 2020
Finite Group Equivariant Neural Networks for Games Oisín Carroll Joeran Beel 43 1 0 10 Sep 2020
Brain Stroke Lesion Segmentation Using Consistent Perception Generative Adversarial Network Shuqiang Wang Zhuo Chen Wen Yu Baiying Lei GAN MedIm 22 61 0 30 Aug 2020
Time-Reversal Symmetric ODE Network In Huh Eunho Yang Sung Ju Hwang Jinwoo Shin 22 19 0 22 Jul 2020
CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution Layers Jinpyo Kim Wookeun Jung Hyungmo Kim Jaejin Lee 11 31 0 21 Jul 2020
Spin-Weighted Spherical CNNs Carlos Esteves A. Makadia Kostas Daniilidis 30 69 0 18 Jun 2020
Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series David W. Romero Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 21 3 0 09 Jun 2020