Equivariance-bridged SO(2)-Invariant Representation Learning using Graph Convolutional Network

18 June 2021

Papers citing "Equivariance-bridged SO(2)-Invariant Representation Learning using Graph Convolutional Network"

24 / 24 papers shown

Title
Invariant Deep Compressible Covariance Pooling for Aerial Scene Categorization Shidong Wang Yi Ren G. Parr Yu Guan Ling Shao 18 19 0 11 Nov 2020
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 89 522 0 19 Nov 2019
Graph Convolutional Networks for Temporal Action Localization Runhao Zeng Wenbing Huang Mingkui Tan Yu Rong P. Zhao Junzhou Huang Chuang Gan GNN 78 476 0 07 Sep 2019
Multi-Label Image Recognition with Graph Convolutional Networks Zhao-Min Chen Xiu-Shen Wei Peng Wang Yanwen Guo 66 998 0 07 Apr 2019
The Effectiveness of Data Augmentation in Image Classification using Deep Learning Luis Perez Jason Wang 77 2,782 0 13 Dec 2017
Learning Steerable Filters for Rotation Equivariant CNNs Maurice Weiler Fred Hamprecht M. Storath 69 386 0 20 Nov 2017
Graph-based Isometry Invariant Representation Learning Renata Khasanova P. Frossard 96 55 0 01 Mar 2017
Rotation equivariant vector field networks Diego Marcos Michele Volpi N. Komodakis D. Tuia 61 270 0 29 Dec 2016
Steerable CNNs Taco S. Cohen Max Welling BDL 135 498 0 27 Dec 2016
Harmonic Networks: Deep Translation and Rotation Equivariance Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow 105 707 0 14 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 444 14,264 0 02 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 575 28,964 0 09 Sep 2016
TI-POOLING: transformation-invariant pooling for feature learning in Convolutional Neural Networks D. Laptev Nikolay Savinov J. M. Buhmann Marc Pollefeys OOD 61 257 0 21 Apr 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 142 1,930 0 24 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
Deep Convolutional Networks on Graph-Structured Data Mikael Henaff Joan Bruna Yann LeCun GNN 150 1,585 0 16 Jun 2015
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 292 7,379 0 05 Jun 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 417 43,234 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 399 43,589 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.3K 100,213 0 04 Sep 2014
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 187 4,870 0 21 Dec 2013
Network In Network Min Lin Qiang Chen Shuicheng Yan 268 6,271 0 16 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 475 15,861 0 12 Nov 2013