Semi Supervised Learning & Semi-Weakly Supervised Learning implementations

Implementation of Semi-Supervised and Semi-Weakly Supervised Teacher/Student Learning approaches.

[1] Marini N., Otálora S., Müller H., & Atzori M. (2021). “Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: an experiment on prostate histopathology image classification”, Medical Image Analysis (2021): 102165.

Paper link:

Check out the GitHub repository: