机译:内互联网边缘设备的高效单眼深度估计
Hunan Univ Coll Comp Sci & Elect Engn Key Lab Embedded & Cyber Phys Syst Changsha 410082 Peoples R China;
Hunan Univ Coll Comp Sci & Elect Engn Key Lab Embedded & Cyber Phys Syst Changsha 410082 Peoples R China;
Hunan Univ Coll Comp Sci & Elect Engn Key Lab Embedded & Cyber Phys Syst Changsha 410082 Peoples R China;
Hunan Univ Coll Comp Sci & Elect Engn Key Lab Embedded & Cyber Phys Syst Changsha 410082 Peoples R China;
Hunan Univ Coll Comp Sci & Elect Engn Key Lab Embedded & Cyber Phys Syst Changsha 410082 Peoples R China;
Hunan Univ Coll Comp Sci & Elect Engn Key Lab Embedded & Cyber Phys Syst Changsha 410082 Peoples R China;
St Francis Xavier Univ Dept Comp Sci Antigonish NS B2G 2W5 Canada;
Convolutional neural network (CNN); depth estimation; edge devices; Internet of Things (IoT);
机译:用于隔离体和边缘监控的单眼深度估计轻量级网络
机译:用遮挡面罩和边缘意识自我监督的单眼深度估计
机译:高效使用注意导向生成对抗网络的无监督单眼深度估计
机译:用于移动设备的快速准确单眼深度估计的知识蒸馏
机译:使用对抗性培训的单眼深度估计
机译:单眼深度估计具有关注特征蒸馏和基于小波的损耗功能
机译:通过门控多尺度网络高效和高质量的单眼深度估计