Few-shot recognition involves training an image classifier to distinguis...
Deep neural network models have been very successfully applied to Natura...
In this paper we reformulate few-shot classification as a reconstruction...
We aim to build image generation models that generalize to new domains f...
Few-shot, fine-grained classification requires a model to learn subtle,
...
Traditional recognition methods typically require large,
artificially-ba...