FID and friends

[Matthijspals]

• Intuitive description, of what these metrics try to measure, and how, and for what they are used
• Thorough description of the metric in supplementary
• Common variants and hyper parameters choices
• Scaling with dimensionality
• Scaling with number of samples
• Computational complexity
• Induced geometry
• Failure modes

[manuelgloeckler]

• Implement Image Embedding net @manuelgloeckler
• Implement FID metric @manuelgloeckler

[manuelgloeckler]

• Experiment class for Test / Train on metric with FID
• Run script.

[manuelgloeckler]

• cifar train test data functions @manuelgloeckler