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层次知识转移:用于工业异常检测的跨层蒸

Junning Xu1, Sanxin Jiang1

  • 1College of Electronics and Information Engineering, Shanghai University of Electric Power, Shanghai 201306, China.

Journal of imaging
|April 25, 2025
PubMed
概括

本研究介绍了一种分层知识转移 (HKT) 框架用于工业异常检测,通过实现跨层学习和结构脱来改进传统方法. 先进的HKT+模型在基准数据集上实现了最先进的性能.

关键词:
检测异常检测异常检测注意力机制注意力机制跨层传输的跨层传输是什么功能提取 特性提取知识的蒸知识的蒸.

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