Single Source Domain Generalization

Single-source domain generalization (SSDG) in computer vision refers to the task where a model is trained on only one source domain but can effectively generalize to multiple unseen target domains. This task aims to enhance the model's cross-domain adaptation capabilities, reduce the reliance on large amounts of labeled data, and improve the robustness and generalization performance of the model in real-world scenarios, making it highly valuable for practical applications.