Research Frontier
摘要
The chapter presents a series of innovative UDA algorithms and identifies key areas for future investigation, including the integration with large-scale models, expansion to new application domains, the development of richer evaluation datasets, and the need for strengthened theoretical foundations. By delineating these research frontiers, the chapter provides a roadmap for advancing UDA towards real-world applicability and robustness.