Hierarchically Structured Network With Attention Convolution and Embedding Propagation for Imbalanced Few-Shot Learning
Generally, a few-shot distribution shift will lead to a poor generalization.Furthermore, while the number of instances of each class in the real world may significantly different, the existing few-shot classification methods vibrating-dildos are based on the assumption that the number of samples in each class is equal, which causes the trained clas