Instance-Level Embedding Adaptation for Few-Shot Learning
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 Paper Tableware a deep neural network and usually shared by all novel categories.However, these brute approaches lack a f