Department of Automation, Tsinghua University, Beijing, China;
Department of Automation, Tsinghua University, Beijing, China;
Department of Automation, Tsinghua University, Beijing, China;
Graduate School at Shenzhen, Tsinghua University, Shenzhen, China;
Department of Automation, Tsinghua University, Beijing, China;
Pose estimation; Object detection; Feature extraction; Indexing; Proposals; Training; Fingerprint recognition;
机译:基于改进的Faster R-CNN的复杂教室环境中的姿势检测
机译:水果产量估计使用Miou使用更快的R-CNN
机译:多级对象检测使用更快的R-CNN和自动抖动和捕获苹果收获的摇晃位置的估算
机译:基于更快的R-CNN的指纹姿态估计
机译:基于掩模R-CNN提取数据与VGG神经网络分类的猪姿势估计
机译:使用合成培训的Synpo-Net-Complate和基于快速的CNN 6DOF对象姿态估计
机译:用于姿态估计和动作检测的R-CNN