DeCAB: Debiased Semi-supervised Learning for Imbalanced Open-Set Data

Xiaolin Huang, Mengke Li, Yang Lu, Hanzi Wang. DeCAB: Debiased Semi-supervised Learning for Imbalanced Open-Set Data. In Qingshan Liu 0001, Hanzi Wang, Zhanyu Ma, Weishi Zheng 0001, Hongbin Zha, Xilin Chen 0001, Liang Wang, Rongrong Ji, editors, Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part IX. Volume 14433 of Lecture Notes in Computer Science, pages 104-119, Springer, 2023. [doi]

@inproceedings{HuangLLW23-0,
  title = {DeCAB: Debiased Semi-supervised Learning for Imbalanced Open-Set Data},
  author = {Xiaolin Huang and Mengke Li and Yang Lu and Hanzi Wang},
  year = {2023},
  doi = {10.1007/978-981-99-8546-3_9},
  url = {https://doi.org/10.1007/978-981-99-8546-3_9},
  researchr = {https://researchr.org/publication/HuangLLW23-0},
  cites = {0},
  citedby = {0},
  pages = {104-119},
  booktitle = {Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part IX},
  editor = {Qingshan Liu 0001 and Hanzi Wang and Zhanyu Ma and Weishi Zheng 0001 and Hongbin Zha and Xilin Chen 0001 and Liang Wang and Rongrong Ji},
  volume = {14433},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-981-99-8546-3},
}