Fork = 0,1,2,,K,summingbothsidesofthisinequalityyields R? E[ R(θ1) ] E[ R(θK+1) ] E[ R(θ0) ] 1 2 KX

Since there lacks aunified standard instoring/saving exemplars forincremental few-shot learning, we choose the setting that we consider most reasonable and practical. In our experiments, we observethat after training on base classes with balanced data, the norms ofthe class prototypes ofbase classes tend tobesimilar. However,after fine-tuning with very few data on unseen new classes, the norms of the new class prototypes are noticeably smaller than those of the base classes. The few-shot novelclasses consist ofhousehold furniture, vehicles2, flowers, and food containers (20 classes in total). The few-shot novel classes consist of people, vehicles2, flowers, and food containers (20 classes in total).