Video Processing and Understanding Lab
Universidad Autónoma de Madrid, Escuela Politécnica Superior

SI1/PJI/2019-00414 AISEEME (2020-2022)
Aiding diagnosis by self-supervised deep learning from unlabeled medical imaging

Supported by the
Consejería de Educación e Investigación
of the
Comunidad de Madrid
         
Public Resources: Software

Software

  • SB-SSL: Source code for the paper:  Kirill Sirotkin, Pablo Carballeira, Marcos Escudero-Viñolo, "A study on the distribution of social biases in self-supervised learning visual models",   Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 10442-10451. 
  • CCL: Source code for the paper: Marcos Escudero-Viñolo, Alejandro López-Cifuentes, "CCL: Class-wise Curriculum Learning for class imbalance problems," CCL: Proceedings of the IEEE International Conference on Image Processing (ICIP), 2022, pp. 1476-1480.
Last update 14/12/2022
Universidad Autónoma de Madrid, Escuela Politécnica Superior
Video Processing and Understanding Lab