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360° Surface Regression with a Hyper-Sphere Loss.

Antonis KarakottasNikolaos ZioulisStamatis SamarasDimitrios AtaloglouVasileios GkitsasDimitrios ZarpalasPetros Daras
Published in: 3DV (2019)
Keyphrases
  • hyper sphere
  • regression model
  • support vector data description
  • sample set
  • model selection
  • d objects
  • gaussian processes
  • support vectors
  • weak learners