no code implementations • 23 Nov 2021 • Gabriel García, Adrián Colomer, Rafael Verdú-Monedero, José Dolz, Valery Naranjo
Particularly, the proposed two-step learning methodology resorts to pseudo-labels generated during the first step to augment the training dataset on the target domain, which is then used to train the final target model.
1 code implementation • 1 Oct 2020 • Adrian Galdran, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed
Assessing the degree of disease severity in biomedical images is a task similar to standard classification but constrained by an underlying structure in the label space.
2 code implementations • 3 Sep 2020 • Adrian Galdran, André Anjos, José Dolz, Hadi Chakor, Hervé Lombaert, Ismail Ben Ayed
Our analysis demonstrates that the retinal vessel segmentation problem is far from solved when considering test images that differ substantially from the training data, and that this task represents an ideal scenario for the exploration of domain adaptation techniques.
2 code implementations • 25 Aug 2020 • Malik Boudiaf, Ziko Imtiaz Masud, Jérôme Rony, José Dolz, Pablo Piantanida, Ismail Ben Ayed
We introduce Transductive Infomation Maximization (TIM) for few-shot learning.