机译:使用轻型卷积神经网络的多层特征表示的车辆颜色识别
Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology,College of Microelectronics, Faculty of Information Technology, Beijing University of Technology;
Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology,College of Microelectronics, Faculty of Information Technology, Beijing University of Technology,Collaborative Innovation Center of Electric Vehicles in Beijing;
Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology,College of Microelectronics, Faculty of Information Technology, Beijing University of Technology;
Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology,College of Microelectronics, Faculty of Information Technology, Beijing University of Technology;
Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology,College of Microelectronics, Faculty of Information Technology, Beijing University of Technology;
Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology,College of Microelectronics, Faculty of Information Technology, Beijing University of Technology;
Multiple-Layer Feature Representations; Lightweight convolutional neural network; Vehicle color recognition; Spatial Pyramid Matching;
机译:MCFF-CNN:多尺度综合特征融合卷积神经网络,用于基于残差学习的车辆色彩识别
机译:轻量级卷积神经网络,用于热红外图像中的车辆识别
机译:使用轻质卷积神经网络具有特征优化和联合学习策略的细粒式车型分类
机译:轻型卷积神经网络的车辆目标识别
机译:基于卷积神经网络的人类视觉系统启发特征识别方法
机译:基于特征的表示使用卷积神经网络改善颜色分解和核检测
机译:车辆颜色识别在深度卷积神经网络的监视中