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METHOD FOR MEASURING THE BOUNDARY PERFORMANCE OF A SEMANTIC SEGMENTATION NETWORK

机译:测量语义分段网络的边界性能的方法

摘要

A method for evaluating the boundary performance of a semantic segmentation network in a convolutional neural network. A method for measuring the boundary performance of a semantic segmentation network includes the steps: determining an original boundary mask defining a boundary between different classes of an image; determining a thickened boundary mask dependent on the original boundary mask using morphological operations; determining a true positive rate, a false positive rate and a false negative rate dependent on the original boundary mask and/or the thickened boundary mask; and determining a final boundary metric, indicating the boundary performance, dependent on the determined true positive rate, the determined false positive rate and the determined false negative rate.
机译:一种评估卷积神经网络中语义分割网络的边界性能的方法。用于测量语义分割网络的边界性能的方法包括步骤:确定定义图像不同类之间的边界的原始边界屏蔽;使用形态学操作确定依赖于原始边界掩模的增厚边界掩模;确定真正的阳性率,假阳性率和依赖于原始边界掩模和/或增厚边界掩模的假负速率;并确定最终边界度量,指示边界性能,取决于所确定的真正阳性率,确定的假阳性率和确定的假负速率。

著录项

  • 公开/公告号US2021101287A1

    专利类型

  • 公开/公告日2021-04-08

    原文格式PDF

  • 申请/专利权人 ROBERT BOSCH GMBH;

    申请/专利号US202017062092

  • 发明设计人 ZE GUO;

    申请日2020-10-02

  • 分类号B25J9/16;G06K9;G06K9/62;G06N3/08;

  • 国家 US

  • 入库时间 2022-08-24 17:24:17

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