摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器人的最新研究结果已经公布。根据新闻报道来自中华人民共和国杭州，由NewsRx记者报道，研究称，混凝土桥梁裂缝的定量评估是结构健康监测的关键数字双胞胎。然而，裂纹分割模型的训练主要依赖于注释资源，而它们的分割能力在边界定位精度方面往往不理想在实践中需要细裂缝。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingoriginating from Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated,“Quantitative ass essment of cracks in concrete bridges is crucial for structural health monitorin g anddigital twin. However, the training of crack segmentation models relies he avily on annotation resources,and their segmentation capabilities are often uns atisfactory in terms of the accuracy of boundary locationof thin cracks encount ered in practice.”
NETL
NSTL