Unlocking Prototype Potential: An Efficient Tuning Framework for Few-Shot Class-Incremental Learning

Shengqin Jiang, Xiaoran Feng, Yuankai Qi +6

Few-shot class-incremental learning (FSCIL) seeks to continuously learn new classes from very limited samples while preserving previously acquired knowledge. Traditional methods of…