Tiny models from tiny data: Textual and null-text inversion for few-shot distillation

Erik Landolsi, Fredrik Kahl

Few-shot learning deals with problems such as image classification using very few training examples. Recent vision foundation models show excellent few-shot transfer abilities, but…