CVPR · 2022 · Conference paper

Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning

Kai Zhu, Wei Zhai, Yang Cao, Jiebo Luo, Zheng-Jun Zha

University of Science and Technology of China · University of Rochester

Published in
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Date
2022-06-01
Citations
209
arXiv
2203.06359
Cite
@inproceedings{zhu2022selfsustaining,
  title = {Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning},
  author = {Kai Zhu and Wei Zhai and Yang Cao and Jiebo Luo and Zheng-Jun Zha},
  year = {2022},
  booktitle = {2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  eprint = {2203.06359},
  archivePrefix = {arXiv},
  doi = {10.1109/CVPR52688.2022.00908},
  url = {https://arxiv.org/abs/2203.06359},
}