Flow-based semantic augmentation
Produced by Semantic Perturbations with Normalizing Flows for Improved Generalization
Data augmentation
An algorithmic procedure that expands or transforms training examples to encode useful variation and invariance.
An algorithmic procedure that expands or transforms training examples to encode useful variation and invariance.
Augmentations may be hand designed, sampled from a learned model, or selected adversarially.