A Comparison of Uncertainty Quantification Methods for Active Learning in Image Classification

Alice Hein, Stefan Röhrl, Thea Grobel, Manuel Lengl, Nawal Hafez, Martin Knopp, Christian Klenk, Dominik Heim, Oliver Hayden, Klaus Diepold. A Comparison of Uncertainty Quantification Methods for Active Learning in Image Classification. In International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022. pages 1-8, IEEE, 2022. [doi]

@inproceedings{HeinRGLHKKHHD22,
  title = {A Comparison of Uncertainty Quantification Methods for Active Learning in Image Classification},
  author = {Alice Hein and Stefan Röhrl and Thea Grobel and Manuel Lengl and Nawal Hafez and Martin Knopp and Christian Klenk and Dominik Heim and Oliver Hayden and Klaus Diepold},
  year = {2022},
  doi = {10.1109/IJCNN55064.2022.9892240},
  url = {https://doi.org/10.1109/IJCNN55064.2022.9892240},
  researchr = {https://researchr.org/publication/HeinRGLHKKHHD22},
  cites = {0},
  citedby = {0},
  pages = {1-8},
  booktitle = {International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italy, July 18-23, 2022},
  publisher = {IEEE},
  isbn = {978-1-7281-8671-9},
}