Few-shot learning aims to recognize novel categories from just a few labeled instances. Existing metric learning-based approaches perform classifications by nearest neighbor search in the embedding space. The embedding function is a deep neural network and usually shared by all novel categories. https://www.hindigyanvishv.com/hot-find-Facia-Installation-Kit-Suits-Holden-Commodore-VE-Series-2-FP9550BK-Black-top-mega/