机译:一种基于深度学习的快速钢结构缺陷分类方法
Zhejiang Univ Sch Mech Engn State Key Lab Fluid Power & Mechtron Syst Hangzhou Zhejiang Peoples R China|Zhejiang Univ Sch Mech Engn Key Lab Adv Mfg Technol Zhejiang Prov Hangzhou Zhejiang Peoples R China;
Zhejiang Univ Sch Mech Engn State Key Lab Fluid Power & Mechtron Syst Hangzhou Zhejiang Peoples R China|Zhejiang Univ Sch Mech Engn Key Lab Adv Mfg Technol Zhejiang Prov Hangzhou Zhejiang Peoples R China;
Zhejiang Univ Sch Mech Engn State Key Lab Fluid Power & Mechtron Syst Hangzhou Zhejiang Peoples R China|Zhejiang Univ Sch Mech Engn Key Lab Adv Mfg Technol Zhejiang Prov Hangzhou Zhejiang Peoples R China;
Zhejiang Univ Sch Mech Engn State Key Lab Fluid Power & Mechtron Syst Hangzhou Zhejiang Peoples R China|Zhejiang Univ Sch Mech Engn Key Lab Adv Mfg Technol Zhejiang Prov Hangzhou Zhejiang Peoples R China;
Zhejiang Univ Sch Mech Engn State Key Lab Fluid Power & Mechtron Syst Hangzhou Zhejiang Peoples R China|Zhejiang Univ Sch Mech Engn Key Lab Adv Mfg Technol Zhejiang Prov Hangzhou Zhejiang Peoples R China;
Univ Twente Scene Understanding Grp Hengelosestr 99 NL-7514 AE Enschede Netherlands;
Zhejiang Univ Sch Mech Engn State Key Lab Fluid Power & Mechtron Syst Hangzhou Zhejiang Peoples R China|Zhejiang Univ Sch Mech Engn Key Lab Adv Mfg Technol Zhejiang Prov Hangzhou Zhejiang Peoples R China;
Surface inspection; Defect classification; Convolutional neural network; Feature extraction; Multi-receptive field;
机译:基于深度学习的钢表面缺陷分类的快速可靠方法
机译:基于深度卷积神经网络的钢表面缺陷分类新集成方法
机译:用于钢表面缺陷检测的增强型快速区域卷积神经网络
机译:基于稳健和快速的深度学习的钢表面缺陷分类方法
机译:钢热轧过程中的表面缺陷检测,分类和根本原因诊断。
机译:具有多尺度特征的轻量级深度学习模型用于钢结构缺陷分类
机译:一种带钢表面缺陷区域的快速检测方法