Revealing the Two Sides of Data Augmentation: An Asymmetric Distillation-Based Win-Win Solution for Open-Set Recognition

Cite

Text

Jia et al. "Revealing the Two Sides of Data Augmentation: An Asymmetric Distillation-Based Win-Win Solution for Open-Set Recognition." International Joint Conference on Artificial Intelligence, 2024.

Markdown

[Jia et al. "Revealing the Two Sides of Data Augmentation: An Asymmetric Distillation-Based Win-Win Solution for Open-Set Recognition." International Joint Conference on Artificial Intelligence, 2024.](https://mlanthology.org/ijcai/2024/jia2024ijcai-revealing/)

BibTeX

@inproceedings{jia2024ijcai-revealing,
  title     = {{Revealing the Two Sides of Data Augmentation: An Asymmetric Distillation-Based Win-Win Solution for Open-Set Recognition}},
  author    = {Jia, Yunbing and Kong, Xiaoyu and Tang, Fan and Gao, Yixing and Dong, Weiming and Yang, Yi},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {911-919},
  url       = {https://mlanthology.org/ijcai/2024/jia2024ijcai-revealing/}
}