Implicit Equivariance in Convolutional Networks

28 November 2021

Papers citing "Implicit Equivariance in Convolutional Networks"

23 / 23 papers shown

Title
Rotation Equivariant Siamese Networks for Tracking D. K. Gupta Devanshu Arya E. Gavves 51 36 0 24 Dec 2020
Scale Equivariance Improves Siamese Tracking Ivan Sosnovik A. Moskalev A. Smeulders 33 79 0 17 Jul 2020
General $E(2)$ -Equivariant Steerable CNNs Maurice Weiler Gabriele Cesa 79 516 0 19 Nov 2019
Scale-Equivariant Steerable Networks Li Xiao Michal Szmaja A. Smeulders 102 149 0 14 Oct 2019
Scale Steerable Filters for Locally Scale-Invariant Convolutional Neural Networks Rohan Ghosh A. Gupta 43 45 0 10 Jun 2019
Deep Scale-spaces: Equivariance Over Scale Daniel E. Worrall Max Welling BDL 49 167 0 28 May 2019
Learning to Convolve: A Generalized Weight-Tying Approach Nichita Diaconu Daniel E. Worrall MLT 40 20 0 12 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot Nicholas Carlini Ian Goodfellow Nicolas Papernot Avital Oliver Colin Raffel 123 3,009 0 06 May 2019
GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild Lianghua Huang Xin Zhao Kaiqi Huang 66 1,332 0 29 Oct 2018
3D Steerable CNNs: Learning Rotationally Equivariant Features in Volumetric Data Maurice Weiler Mario Geiger Max Welling Wouter Boomsma Taco S. Cohen 3DPC 69 501 0 06 Jul 2018
CubeNet: Equivariance to 3D Rotation and Translation Daniel E. Worrall Gabriel J. Brostow 3DPC 48 142 0 12 Apr 2018
Roto-Translation Covariant Convolutional Networks for Medical Image Analysis Erik J. Bekkers Maxime W. Lafarge M. Veta K. Eppenhof J. Pluim R. Duits MedIm 43 173 0 10 Apr 2018
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay L. Smith 266 1,026 0 26 Mar 2018
Learning Steerable Filters for Rotation Equivariant CNNs Maurice Weiler Fred Hamprecht M. Storath 61 386 0 20 Nov 2017
Learning SO(3) Equivariant Representations with Spherical CNNs Carlos Esteves Christine Allen-Blanchette A. Makadia Kostas Daniilidis 87 510 0 17 Nov 2017
Steerable CNNs Taco S. Cohen Max Welling BDL 101 498 0 27 Dec 2016
Harmonic Networks: Deep Translation and Rotation Equivariance Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel J. Brostow 99 706 0 14 Dec 2016
Fully-Convolutional Siamese Networks for Object Tracking Luca Bertinetto Jack Valmadre João F. Henriques Andrea Vedaldi Philip Torr VOT 71 3,863 0 30 Jun 2016
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning Mehdi S. M. Sajjadi Mehran Javanmardi Tolga Tasdizen BDL 67 1,110 0 14 Jun 2016
TI-POOLING: transformation-invariant pooling for feature learning in Convolutional Neural Networks D. Laptev Nikolay Savinov J. M. Buhmann Marc Pollefeys OOD 46 257 0 21 Apr 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 119 1,917 0 24 Feb 2016
Understanding image representations by measuring their equivariance and equivalence Karel Lenc Andrea Vedaldi SSL FAtt 73 528 0 21 Nov 2014
Learning Invariant Representations with Local Transformations Kihyuk Sohn Honglak Lee OOD 58 189 0 27 Jun 2012