机译:使用深神经网络与无监督多光谱特征学习的行人检测
Zhejiang Univ State Key Lab Fluid Power &
Mechatron Syst Sch Mech Engn Hangzhou Zhejiang Peoples R China;
Zhejiang Univ Sch Mech Engn Key Lab Adv Mfg Technol Zhejiang Prov Hangzhou Zhejiang Peoples R China;
Malong Technol Co Ltd Shenzhen Peoples R China;
Zhejiang Univ State Key Lab Fluid Power &
Mechatron Syst Sch Mech Engn Hangzhou Zhejiang Peoples R China;
Zhejiang Univ State Key Lab Fluid Power &
Mechatron Syst Sch Mech Engn Hangzhou Zhejiang Peoples R China;
Chinese Acad Sci Shenzhen Inst Adv Technol Key Lab Comp Vis &
Pat Rec Guangdong Prov Shenzhen Peoples R China;
Multispectral pedestrian detection; Deep neural networks; Auto-annotation; Semantic feature fusion; Unsupervised learning;
机译:使用深神经网络与无监督多光谱特征学习的行人检测
机译:盒级分割监督深度神经网络,用于准确和实时多光谱行人检测
机译:通过照明感知深神经网络进行多光谱数据进行融合
机译:基于深度卷积神经网络的多光谱行人检测
机译:使用深度学习卷积神经网络框架的特征工程技术在视频中检测视频
机译:分析无监督深度神经网络中音位类别的分布学习
机译:使用经典机器学习技术的入侵检测系统与集成无监督的特征学习和深神经网络