Deep Scale-spaces: Equivariance Over Scale

28 May 2019

Papers citing "Deep Scale-spaces: Equivariance Over Scale"

11 / 61 papers shown

Title
SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks F. Fuchs Daniel E. Worrall Volker Fischer Max Welling 3DPC 45 667 0 18 Jun 2020
HDD-Net: Hybrid Detector Descriptor with Mutual Interactive Learning Axel Barroso Laguna Yannick Verdié Benjamin Busam K. Mikolajczyk 27 18 0 12 May 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan Jan van Gemert 213 233 0 16 Mar 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs P. D. Haan Maurice Weiler Taco S. Cohen Max Welling 104 127 0 11 Mar 2020
Roto-Translation Equivariant Convolutional Networks: Application to Histopathology Image Analysis Maxime W. Lafarge Erik J. Bekkers J. Pluim R. Duits M. Veta MedIm 27 74 0 20 Feb 2020
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization Rui Wang Robin Walters Rose Yu AI4CE 54 170 0 08 Feb 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
B-Spline CNNs on Lie Groups Erik J. Bekkers AI4CE 35 129 0 26 Sep 2019
Self-supervised Scale Equivariant Network for Weakly Supervised Semantic Segmentation Yude Wang Jie Zhang Meina Kan Shiguang Shan Xilin Chen 31 20 0 09 Sep 2019
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 165 310 0 05 Nov 2018