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

no code implementations • 11 Mar 2024 • Xinyuan Gao, Songlin Dong, Yuhang He, Xing Wei, Yihong Gong

Besides, to address the classifier bias towards the new classes, we propose a novel approach to generate the pseudo-features to correct the classifier.

Class Incremental Learning Incremental Learning

DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning

no code implementations • CVPR 2023 • Xinyuan Gao, Yuhang He, Songlin Dong, Jie Cheng, Xing Wei, Yihong Gong

Deep neural networks suffer from catastrophic forgetting in class incremental learning, where the classification accuracy of old classes drastically deteriorates when the networks learn the knowledge of new classes.

Class Incremental Learning General Knowledge +2