Anhui Province Key Laboratory of Network and Information Security, Anhui Normal University, Wuhu, China;
Anhui Province Key Laboratory of Network and Information Security, Anhui Normal University, Wuhu, China;
Anhui Province Key Laboratory of Network and Information Security, Anhui Normal University, Wuhu, China;
Department of Computer Science, Hull University, Hull, UK;
Department of Computer Science, Hull University, Hull, UK;
Department of Computer Science, Hull University, Hull, UK;
Department of Computer Science, Hull University, Hull, UK;
Computer Engineering College, Jimei University, Xiamen, China;
Object recognition; Videos; Training; Robots; Machine learning; Image segmentation;
机译:使用模板匹配和预先训练的卷积神经网络的对象识别
机译:支持向量机,卷积神经网络和深信度网络对部分遮挡物体的识别
机译:通过图像通道减少在预训练的卷积神经网络中的图像通道减速
机译:使用预先训练的卷积神经网络的室内物体识别
机译:与卷积神经网络的活动对象识别
机译:训练的深度卷积神经网络模型注意语音情感识别
机译:基本卷积神经网络的评估,亚历克网和室内物体识别特征袋