机译:归纳多形图学习及其在基于视图的3D对象分类中的应用
Key Laboratory for Information System Security, Ministry of Education, Beijing National Research Center for Information Science and Technology, School of Software, Tsinghua University, Beijing, China;
Key Laboratory for Information System Security, Ministry of Education, Beijing National Research Center for Information Science and Technology, School of Software, Tsinghua University, Beijing, China;
Key Laboratory for Information System Security, Ministry of Education, Beijing National Research Center for Information Science and Technology, School of Software, Tsinghua University, Beijing, China;
Fujian Key Laboratory of Sensing and Computing for Smart City, School of Information Science and Engineering, Xiamen University, Xiamen, China;
Key Laboratory for Information System Security, Ministry of Education, Beijing National Research Center for Information Science and Technology, School of Software, Tsinghua University, Beijing, China;
Three-dimensional displays; Correlation; Testing; Task analysis; Manifolds; Convolutional neural networks; Training;
机译:基于视图的3D对象分类的多模式学习
机译:通过多模式图学习进行基于视图的3D对象检索
机译:通过基于Motion-Stereo的视图模型进行基于视图的虚拟学习和3D对象识别
机译:基于视图的3D对象识别与期望传播学习
机译:H3DNET:用于分层3D对象分类的深度学习框架
机译:实时3D多对象检测定位和跟踪的深度学习:在智能出行中的应用
机译:3D对象分类使用体积深神经网络:高效的Octree引导辅助学习方法