2017
Unified Deep Supervised Domain Adaptation and Generalization
ICCV 2017poster
This work addresses the problem of domain adaptation and generalization in a unified fashion. The main idea is to exploit the siamese architecture with the Contrastive Loss to address the domain shift and generalization problems. The framework is general, and can be used with any architecture. One o…