Two-level Graph Network for Few-Shot Class-Incremental Learning

no code implementations • 24 Mar 2023 • Hao Chen, Linyan Li, Fan Lyu, Fuyuan Hu, Zhenping Xia, Fenglei Xu

Class-level graph network aims to mitigate the semantic conflict between prototype features of new classes and old classes.

Few-Shot Class-Incremental Learning Incremental Learning +1

Centroid Distance Distillation for Effective Rehearsal in Continual Learning

1 code implementation • 6 Mar 2023 • Daofeng Liu, Fan Lyu, Linyan Li, Zhenping Xia, Fuyuan Hu

Rehearsal, retraining on a stored small data subset of old tasks, has been proven effective in solving catastrophic forgetting in continual learning.

Continual Learning

Class-Incremental Lifelong Learning in Multi-Label Classification

1 code implementation • 16 Jul 2022 • Kaile Du, Linyan Li, Fan Lyu, Fuyuan Hu, Zhenping Xia, Fenglei Xu

This paper studies Lifelong Multi-Label (LML) classification, which builds an online class-incremental classifier in a sequential multi-label classification data stream.

Classification Multi-Label Classification

Associating Multi-Scale Receptive Fields for Fine-grained Recognition

1 code implementation • 19 May 2020 • Zihan Ye, Fuyuan Hu, Yin Liu, Zhenping Xia, Fan Lyu, Pengqing Liu

First, CNL computes correlations between features of a query layer and all response layers.