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HexagDLy - Processing hexagonally sampled data with CNNs in PyTorch

HexagDLy - Processing hexagonally sampled data with CNNs in PyTorch

5 March 2019
C. Steppa
T. Holch
ArXivPDFHTML

Papers citing "HexagDLy - Processing hexagonally sampled data with CNNs in PyTorch"

4 / 4 papers shown
Title
Playing Hex and Counter Wargames using Reinforcement Learning and Recurrent Neural Networks
Playing Hex and Counter Wargames using Reinforcement Learning and Recurrent Neural Networks
Guilherme Palma
P. A. Santos
João Dias
41
0
0
20 Feb 2025
Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different
  Sizes
Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes
Sara Hahner
Jochen Garcke
AI4CE
14
14
0
18 Oct 2021
Biologically Inspired Hexagonal Deep Learning for Hexagonal Image
  Generation
Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Generation
Tobias Schlosser
Frederik Beuth
Danny Kowerko
10
5
0
01 Jan 2021
Hexagonal Image Processing in the Context of Machine Learning:
  Conception of a Biologically Inspired Hexagonal Deep Learning Framework
Hexagonal Image Processing in the Context of Machine Learning: Conception of a Biologically Inspired Hexagonal Deep Learning Framework
Tobias Schlosser
Michael Friedrich
Danny Kowerko
6
15
0
25 Nov 2019
1