Evolving Domain Generalization

Evolving Domain Generalization is a technique aimed at enhancing the cross-domain generalization capability of machine learning models, particularly applicable in the field of computer vision. Its core objective is to continuously optimize the model so that it can maintain high performance even in unseen domains, thereby improving the robustness and adaptability of the model. The application value of this technology lies in its ability to effectively reduce reliance on new data, lower the cost of model deployment, and enhance the practicality and reliability of the system.