,

Heng Wu1,2,3, Zijun Zheng4,5,6, Laishui Lv7

  • 1College of Information Engineering, Hangzhou Vocational & Technical College, Hangzhou, 310018, China.

Scientific reports
|July 2, 2025
PubMed
概括

本研究介绍了一种空间意识的全球和地方视角 (SGLP) 方法,用于少数拍摄的增量学习. 该方法通过考虑全球和本地空间关系来增强特征表示,改善对象识别的有限数据.

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