TPAMI · 2020 · Journal article

MgSvF: Multi-Grained Slow versus Fast Framework for Few-Shot Class-Incremental Learning

Hanbin Zhao, Yongjian Fu, Mintong Kang, Qi Tian, Fei Wu, Xi Li

Zhejiang University of Science and Technology · Huawei Technologies (China)

Published in
IEEE Transactions on Pattern Analysis and Machine Intelligence
Date
2021-12-09
Citations
155
arXiv
2006.15524
Cite
@article{zhao2020mgsvf,
  title = {MgSvF: Multi-Grained Slow versus Fast Framework for Few-Shot Class-Incremental Learning},
  author = {Hanbin Zhao and Yongjian Fu and Mintong Kang and Qi Tian and Fei Wu and Xi Li},
  year = {2020},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  eprint = {2006.15524},
  archivePrefix = {arXiv},
  doi = {10.1109/TPAMI.2021.3133897},
  url = {https://arxiv.org/abs/2006.15524},
}