Bingzhi Chen

Enhancing Few-Shot Classification without Forgetting Through Multi-level Contrastive Constraints

2024

Most recent few-shot learning approaches are based on meta-learning with episodic training. However, prior studies encounter two crucial problems: (1) the presence of inductive bias, and (2) the occurrence of catastrophic forgetting. In this paper, …