CEAT: Continual Expansion and Absorption Transformer for Non-Exemplar Class-Incremental Learning

The author proposes CEAT as a solution to the challenges of Non-Exemplar Class-Incremental Learning, focusing on continual expansion and absorption to address plasticity-stability dilemma and classifier bias.