2020
Transformation Consistency Regularization – A Semi-Supervised Paradigm for Image-to-Image Translation
ECCV 2020poster
Scarcity of labeled data has motivated the development of semi-supervised learning methods, which learn from large portions of unlabeled data alongside a few labeled samples. Consistency Regularization between model's predictions under different input perturbations, particularly has shown to provide…