Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework

25 November 2019

Papers citing "Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework"

8 / 8 papers shown

Title
HexagDLy - Processing hexagonally sampled data with CNNs in PyTorch C. Steppa T. Holch 33 37 0 05 Mar 2019
HexaConv Emiel Hoogeboom Jorn W. T. Peters Taco S. Cohen Max Welling 32 56 0 06 Mar 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 452 3,264 0 24 Nov 2016
Group Equivariant Convolutional Networks Taco S. Cohen Max Welling BDL 102 1,917 0 24 Feb 2016
Exploiting Cyclic Symmetry in Convolutional Neural Networks Sander Dieleman J. Fauw Koray Kavukcuoglu 65 365 0 08 Feb 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 498 149,474 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 235 43,511 0 17 Sep 2014
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 345 7,650 0 03 Jul 2012