Zeyang Zhu

KAN: Knowledge-Augmented Networks for Few-Shot Learning

Few-shot learning task aims to explore a model that is able to quickly learn new concepts by learning a few examples. The current approaches learning new categories with few images or even a single image are only based on the the visual modality. However, it is difficult to learn the representative…