Ruitao Wu

This paper introduces Diffusion-Classifier Synergy (DCS), a novel framework where a diffusion model and an FSCIL classifier co-evolve through a dynamic, classifier-derived reward system to achieve state-of-the-art few-shot class-incremental learning.