Chenliang Liu

Flexi-FSCIL: Adaptive Knowledge Retention for Breaking the Stability-Plasticity Dilemma in Few-Shot Class-Incremental Learning

Few-Shot Class-Incremental Learning (FSCIL) is challenged by limited data and expanding class spaces, leading to overfitting and catastrophic forgetting. Existing methods, which often freeze feature extractors and use Nearest Class Mean classifiers, sacrifice adaptability to new feature distribution…