1 code implementation • 3 May 2024 • Maxime Zanella, Ismail Ben Ayed
Additionally, our method does not rely on ad hoc rules (e. g., confidence threshold) used in some previous test-time augmentation techniques to filter the augmented views.
1 code implementation • 18 Nov 2022 • Sébastien Piérard, Anthony Cioppa, Anaïs Halin, Renaud Vandeghen, Maxime Zanella, Benoît Macq, Saïd Mahmoudi, Marc Van Droogenbroeck
In this paper, we define a probabilistic framework and present a formal proof of an algorithm for the unsupervised many-to-infinity domain adaptation of posteriors.