Spherical CNNs

@article{Cohen2018SphericalC,
  title={Spherical CNNs},
  author={Taco Cohen and Mario Geiger and Jonas K{\"o}hler and Max Welling},
  journal={CoRR},
  year={2018},
  volume={abs/1801.10130}
}
Convolutional Neural Networks (CNNs) have become the method of choice for learning problems involving 2D planar images. However, a number of problems of recent interest have created a demand for models that can analyze spherical images. Examples include omnidirectional vision for drones, robots, and autonomous cars, molecular regression problems, and global weather and climate modelling. A naive application of convolutional networks to a planar projection of the spherical signal is destined to… CONTINUE READING
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