首页|Harbin Engineering University Researcher Publishes New Data on Robotics (G-Net: An Efficient Convolutional Network for Underwater Object Detection)
Harbin Engineering University Researcher Publishes New Data on Robotics (G-Net: An Efficient Convolutional Network for Underwater Object Detection)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Fresh data on robotics are presented in a new report. According to news reportingoriginating from Harbin, People’s Republic of China, by NewsRx correspondents, research stated, “Visualperception technology is of great significance for underwater robots to carry out seabed investigation andmariculture activities.”
Harbin Engineering UniversityHarbinPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRobotics