Harnessing the Power of Local Representations for Few-Shot Classification

Shi Tang, Guiming Luo, Xinchen Ye +1

Generalizing to novel classes unseen during training is a key challenge of few-shot classification. Recent metric-based methods try to address this by local representations. Howeve…