使寿

Nachuan Liu1, Xiaofeng Zhang1, Jiansheng Guo1

  • 1College of Equipment Management and UAV Engineering, Air Force Engineering University, Xi'an 710051, China.

PubMed
概括

这项研究引入了一种新的双差异网络,用于无监督域适应 (UDA). 该方法通过检测显著的目标样本并调整全球和细粒度特征,有效地减少域移动,显著提高跨域预测的准确性.

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