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Updated: Jun 21, 2026

Volume Segmentation and Analysis of Biological Materials Using SuRVoS Super-region Volume Segmentation Workbench
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标注质量对磨损语义细分的影响 by CNN

Mühenad Bilal1, Ranadheer Podishetti1, Leonid Koval1

  • 1Digital Production, AImotion Bavaria, Technische Hochschule Ingolstadt, 85049 Ingolstadt, Germany.

Sensors (Basel, Switzerland)
|August 10, 2024
PubMed
概括

专业领域的专业知识显著影响卷积神经网络 (CNN),用于涂层末端磨床的磨损细分. 更高的专业知识带来了更好的性能,而TiCN涂层的微妙磨损增加了模型的可变性,强调了需要优质注释的需要.

关键词:
这就是IOU指标.在U-Net模型中,标注协议 标注协议标注质量 标注质量专业知识领域专业知识领域.图像注释 图像注释标签质量质量的标签.机床加工工具 机床加工工具神经网络的性能神经网络的性能.语义细分 语义细分 语义细分 语义细分磨损检测器检测器的使用情况

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