Iterative Self-Learning: Semi-Supervised Improvement to Dataset Volumes and Model Accuracy

Robert Dupre, Jiri Fajtl, Vasileios Argyriou, Paolo Remagnino. Iterative Self-Learning: Semi-Supervised Improvement to Dataset Volumes and Model Accuracy. In IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2019, Long Beach, CA, USA, June 16-20, 2019. pages 79-82, Computer Vision Foundation / IEEE, 2019. [doi]

@inproceedings{DupreFAR19,
  title = {Iterative Self-Learning: Semi-Supervised Improvement to Dataset Volumes and Model Accuracy},
  author = {Robert Dupre and Jiri Fajtl and Vasileios Argyriou and Paolo Remagnino},
  year = {2019},
  url = {http://openaccess.thecvf.com/content_CVPRW_2019/html/Uncertainty_and_Robustness_in_Deep_Visual_Learning/Dupre_Iterative_Self-Learning_Semi-Supervised_Improvement_to_Dataset_Volumes_and_Model_Accuracy_CVPRW_2019_paper.html},
  researchr = {https://researchr.org/publication/DupreFAR19},
  cites = {0},
  citedby = {0},
  pages = {79-82},
  booktitle = {IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2019, Long Beach, CA, USA, June 16-20, 2019},
  publisher = {Computer Vision Foundation / IEEE},
}