Few Shot Model based on Weight Imprinting with Multiple Projection Head

Few-shot learning models based on imprinted weights have achieved excellent results on several benchmarks. In these methods, the network model directly sets the weights of the final layers for novel classes from the latent representations of the training classes. As a result, the learned representations lead to good performance accuracy in training classes. However, the performance accuracy may be...