Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation

no code implementations • 13 Jul 2021 • Fabrizio J. Piva, Gijs Dubbelman

To exploit the advantage of using multiple image translations, we propose an ensemble learning approach, where three classifiers calculate their prediction by taking as input features of different image translations, making each classifier learn independently, with the purpose of combining their outputs by sparse Multinomial Logistic Regression.

Domain Generalization Ensemble Learning +6