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Jingwei Li1, Yuan Li1, Jie Tan2
1Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China.
本研究引入了Active Semi-supervised Domain Generalization (ASSDG),以提高使用较少标记数据的模型性能. 新的基于梯度相似性的样本过和分类 (GSSFS) 方法提高了培训的可靠性和效率.
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