Scale equivariance in CNNs with vector fields

Scale equivariance in CNNs with vector fields

31 July 2018

B. Kellenberger

Papers citing "Scale equivariance in CNNs with vector fields"

17 / 17 papers shown

Title
Scale generalisation properties of extended scale-covariant and scale-invariant Gaussian derivative networks on image datasets with spatial scaling variations Andrzej Perzanowski Tony Lindeberg 55 1 0 17 Sep 2024
Restore Translation Using Equivariant Neural Networks Yihan Wang Lijia Yu Xiao-Shan Gao 21 0 0 29 Jun 2023
Scale-Equivariant UNet for Histopathology Image Segmentation Yi-Lun Yang S. Dasmahapatra S. Mahmoodi 28 12 0 10 Apr 2023
Deep Neural Networks with Efficient Guaranteed Invariances M. Rath Alexandru Paul Condurache 23 4 0 02 Mar 2023
A study on the invariance in security whatever the dimension of images for the steganalysis by deep-learning Kévin Planolles Marc Chaumont Frédéric Comby 28 0 0 22 Feb 2023
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration M. Rath Alexandru Paul Condurache 25 8 0 08 Feb 2022
Deformation Robust Roto-Scale-Translation Equivariant CNNs Liyao (Mars) Gao Guang Lin Wei-wei Zhu 32 8 0 22 Nov 2021
Capacity of Group-invariant Linear Readouts from Equivariant Representations: How Many Objects can be Linearly Classified Under All Possible Views? M. Farrell Blake Bordelon Shubhendu Trivedi Cengiz Pehlevan 18 5 0 14 Oct 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 13 23 0 11 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 32 37 0 07 Jun 2021
DISCO: accurate Discrete Scale Convolutions Ivan Sosnovik A. Moskalev A. Smeulders 26 31 0 04 Jun 2021
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan Jan van Gemert 213 233 0 16 Mar 2020
Attentive Group Equivariant Convolutional Networks David W. Romero Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 22 91 0 07 Feb 2020
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data David W. Romero Mark Hoogendoorn 29 24 0 18 Nov 2019
Scale-Equivariant Steerable Networks Li Xiao Michal Szmaja A. Smeulders 16 149 0 14 Oct 2019
B-Spline CNNs on Lie Groups Erik J. Bekkers AI4CE 40 129 0 26 Sep 2019
Deep Scale-spaces: Equivariance Over Scale Daniel E. Worrall Max Welling BDL 24 166 0 28 May 2019