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机译:一种基于多级深度剩余网络的新型和高精度番茄成熟度识别算法
Institute of Agricultural Facilities and Equipment Jiangsu Academy of Agricultural Sciences Key Laboratory of Protected Agriculture Engineering in the Middle and Lower Reaches of Yangtze River Ministry of Agriculture Nanjing 210014 China;
Institute of Agricultural Facilities and Equipment Jiangsu Academy of Agricultural Sciences Key Laboratory of Protected Agriculture Engineering in the Middle and Lower Reaches of Yangtze River Ministry of Agriculture Nanjing 210014 China;
Institute of Agricultural Facilities and Equipment Jiangsu Academy of Agricultural Sciences Key Laboratory of Protected Agriculture Engineering in the Middle and Lower Reaches of Yangtze River Ministry of Agriculture Nanjing 210014 China;
Tomato detection; Deep learning; DenseNet; Structuring sparse; Network tailoring; Loss function;
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机译:基于深度学习的自动调制识别多级特征提取算法
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机译:基于多级残差网络的异常行为检测与识别
机译:基于机器学习和深度神经网络的基于雷达的人体活动识别算法
机译:基于移动传感器的人类活动识别:通过应用残余网络概念修改的长短期记忆深度学习来区分具有挑战性的活动
机译:同行评论“3D基于3D纹理的面部识别系统的”使用微调深剩余网络(V0.1)“#2”