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不配对的图像对图像的翻译用于源代码免费域名适应在语义细分中的语义细分

Juan An1,2, Zhaoshui He3,4, Jing Guo1

  • 1School of Automation, Guangdong University of Technology, Guangzhou, 510006, China.

Scientific reports
|July 2, 2025
PubMed
概括

本研究介绍了一种未配对的图像对图像 (UITI) 学习框架,以改善无源域适应 (SFDA) 语义细分. 该方法减少了伪标签噪声和模型过拟合,实现了最先进的结果.

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