基于类原型对比的平均教师对域自适应对象检测的对比

Fukang Zhang1, Shanshan Gao2, Zheng Liu1

  • 1School of Computer Science and Artificial Intelligence, Shandong University of Finance and Economics, Jinan, 250014, China.

概括

本研究引入了无监督域自适应对象检测 (UDAOD) 的新框架,以改善不同数据集的模型性能. 拟议的方法增强了特征对齐和伪标签,以实现更准确的对象检测.

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