Blended Target Domain Adaptation

Blended-target Domain Adaptation refers to the task of adapting a single-source model to multiple different target domains, aiming to enhance the model's generalization performance and robustness in each target domain without access to domain labels. This technique has significant application value in the field of computer vision, effectively addressing the issue of cross-domain data distribution differences and improving the practical application effects of the model.