Yazhe Lyu

Alleviating Regional Shortcuts for Few-Shot Class-Incremental Learning

Haichen Zhou, Yazhe Lyu, Yixiong Zou, Ruixuan Li, Yuhua Li

Few-shot class-incremental learning (FSCIL) aims to incrementally learn novel classes with only a few samples while avoiding forgetting base classes. However, current methods show a tendency to misclassify novel-class samples into base classes, which we find to be caused by the e…Read more