Visual learning related methods and concepts

A part of the CVonline computer vision resource summarizing some of the different methods for learning models, model parameters, or algorithmic parameters, as commonly used in computer vision and image processing.

  1. Observational learning

    1. Discrete observational learning

    2. Probabilistic observational learning

  2. Geometric feature learning

  3. Joint natural language and image data learning

  1. Learning technologies

  1. Shape model learning

  1. Property learning