...
机译:基于改进的YOLOV3检测轴承覆盖缺陷的研究
School of Computer Science and Software Engineering University of Science and Technology Liaoning Anshan China;
School of Computer Science and Software Engineering University of Science and Technology Liaoning Anshan China;
School of Computer Science and Software Engineering University of Science and Technology Liaoning Anshan China;
Feature extraction; Convolution; Production; Detection algorithms; Object detection; Deep learning; Real-time systems;
机译:通过改进的yolov3方法检测中小型交通标志
机译:织物缺陷检测使用改进的yolov3模型
机译:基于改进Yolov3和灰狼优化改善极限学习机的大型施工监测视频的大型建筑职位的设备检测与定位
机译:基于改进的yolov3算法的高速铁路集线器表面缺陷检测
机译:基于深入的学习方法,用于检测模塑纸浆包装表面上的异物缺陷
机译:基于改进YOLOV3的多向场景文本检测
机译:基于改进的YOLOV3检测轴承覆盖缺陷的研究