Funder
BMBF Bonn
BMWK
Bundesministerium für Wirtschaft und Klimaschutz
Munich Center for Machine Learning
Deutsche Forschungsgemeinschaft
Reference58 articles.
1. Alonso, I., Sabater, A., Ferstl, D., Montesano, L., Murillo, A.C., 2021. Semi-supervised semantic segmentation with pixel-level contrastive learning from a class-wise memory bank. In: Proceedings of the IEEE/CVF International Conference on Computer Vision. pp. 8219–8228.
2. Pseudo-labeling and confirmation bias in deep semi-supervised learning;Arazo,2020
3. Revisiting consistency regularization for semi-supervised change detection in remote sensing images;Bandara,2022
4. Bengio, Y., Louradour, J., Collobert, R., Weston, J., 2009. Curriculum learning. In: Proceedings of the 26th Annual International Conference on Machine Learning. pp. 41–48.
5. Debiased self-training for semi-supervised learning;Chen;Adv. Neural Inf. Process. Syst.,2022