首页|Reports from Zhejiang University Add New Data to Findings in Robotics (Amcfnet: Asymmetric Multiscale and Crossmodal Fusion Network for Rgb-d Semantic Segmentation In Indoor Service Robots)
Reports from Zhejiang University Add New Data to Findings in Robotics (Amcfnet: Asymmetric Multiscale and Crossmodal Fusion Network for Rgb-d Semantic Segmentation In Indoor Service Robots)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Robotics. According to news reporting fromHangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Red-green-blue and depth(RGB-D) semantic segmentation is essential for indoor service robots to achieve accurate artificial intelligence.Various RGB-D indoor semantic segmentation methods have been proposed since the widespreadadoption of depth maps.”
HangzhouPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRoboticsZhejiang University
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