Source-free Domain Generalization

Source-free Domain Generalization is dedicated to enhancing a model's ability to generalize to any unseen domain without utilizing source domain data. The task aims to improve the adaptability and robustness of the model so that it can maintain high performance in various environments and conditions, thereby achieving broader application value in computer vision.