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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

The invention relates to a method for evaluating the boundary performance of a semantic segmentation network in a convolutional neural network.;Method for measuring the boundary performance of a semantic segmentation network comprising the steps:determining (S1) an original boundary mask (Bo) defining a boundary between different classes of an image;determining (S2) a thickened boundary mask (Bt) dependent on the original boundary mask (Bo) using morphological operations;determining (S3) a true positive rate, a false positive rate and a false negative rate dependent on the original boundary mask (Bo) and/or the thickened boundary mask (Bt); anddetermining (S4) 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:本发明涉及一种用于评估卷积神经网络中的语义分割网络的边界性能的方法。;测量包括步骤的语义分段网络的边界性能的方法:确定(s1)原始边界掩模(bo)定义图像不同类别之间的边界;确定(S2)使用形态学操作,取决于原始边界掩模(BO)的增厚边界掩模(BT);确定(S3)真正的阳性速率,假阳性率和取决于原始边界掩模(BO)和/或增厚边界掩模(BT)的假负速率;和确定(S4)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EP3805986A1

    专利类型

  • 公开/公告日2021-04-14

    原文格式PDF

  • 申请/专利权人 ROBERT BOSCH GMBH;

    申请/专利号EP20190201614

  • 发明设计人 GUO ZE;

    申请日2019-10-07

  • 分类号G06K9/38;G06K9/44;G06K9/46;G06T5/30;G06T7/12;G06K9/62;

  • 国家 EP

  • 入库时间 2022-08-24 18:12:33

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