Beijing Key Laboratory of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing, China;
Beijing Key Laboratory of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing, China;
Beijing Key Laboratory of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing, China;
Beijing Key Laboratory of Urban Intelligent Traffic Control Technology, North China University of Technology, Beijing, China;
Proposals; Object detection; Training; Data models; Roads; Artificial neural networks;
机译:用深卷积神经网络改进交通标志检测
机译:基于SVM和卷积神经网络的两阶段交通标志检测与识别
机译:基于卷积神经网络的交通标志自动识别算法
机译:基于深卷积神经网络的交通符号检测算法
机译:基于深度卷积神经网络设计交通符号分类有效模型
机译:基于速度基于区域的卷积神经网络的正畸患者在正畸患者中检测早期学习的方法
机译:基于速度基于区域的卷积神经网络的正畸患者在正畸患者中检测早期学习的方法