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机译:HRIPCB:用于PCB缺陷检测和分类的具有挑战性的数据集
Peking Univ Shenzhen Grad Sch Key Lab Machine Percept Shenzhen Peoples R China;
Peking Univ Shenzhen Grad Sch Key Lab Machine Percept Shenzhen Peoples R China;
Shenzhen Skyworth RGB Elect Co Ltd Shenzhen Peoples R China;
Peking Univ Shenzhen Grad Sch Key Lab Machine Percept Shenzhen Peoples R China;
image registration; computer vision; image recognition; inspection; object detection; neural nets; printed circuits; RBCNN method; deep neural networks; HRIPCB; challenging dataset; PCB defects detection; inspection; printed circuit board; synthesised PCB dataset; 6 kinds; classification; registration tasks; reference-based method; end-to-end convolutional neural network; RBCNN approach; pixel-by-pixel processing;
机译:用于NASA软件缺陷的类商业数据集中成本敏感分类和知识发现的新颖算法
机译:一种基于SURF特征和形态学运算的PCB自动缺陷检测实时方法
机译:使用熵测法检测PCB上镀金表面的缺陷
机译:专门的骑单车检测数据集:具有挑战性的现实世界计算机视觉数据集,用于使用单眼RGB相机进行骑单车检测
机译:Bagstack分类,用于数据不平衡问题,用于缺陷半导体单元中的检测和标记
机译:DroneRF数据集:无人机数据集用于基于RF的检测分类和识别
机译:pcb缺陷检测与分类的自适应数据挖掘方法