Generalized few-shot learning under large scope by using episode-wise regularizing imprinting

This paper introduces a method that accomplishes few-shot oriented learning by iteratively using a traditional training routine and a parameter imprinting routine, and is the first approach that achieves the effect of meta-learning by using traditional learning routings.