Zero-shot incremental learning aims to enable a model to generalize to new classes without forgetting previously learned classes. However, the semantic gap between old and new sample classes can lead ...

In the study of small datasets, obtaining training samples from source categories for learning is a challenge in fine-grained image classification. Based on the fact that fine-grained concepts can be ...