Fig. 2

Diagram of cross-domain adaptation process. CDAN is a domain adaptation technique designed to address domain shift challenges with different distributions. We utilize CDAN to integrate the joint representation f of the source and target domain, along with classifier prediction g into the joint conditional representation distinguished by the discriminator. The discriminator is structured as a three-layer fully connected network with the specific goal of distinguishing the target domain from source domain by minimizing domain classification error