首页|Data from Hong Kong University of Science and Technology Provide New Insights in to Robotics and Automation (Energy-based Domain-adaptive Segmentation With Depth Guidance)
Data from Hong Kong University of Science and Technology Provide New Insights in to Robotics and Automation (Energy-based Domain-adaptive Segmentation With Depth Guidance)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Robotics - Robotics and Automation are presented in a new report.According to news reporting out of Gua ngdong, People’s Republic of China, by NewsRx editors, researchstated, “Recent endeavors have been made to leverage self-supervised depth estimation as guidanc e inunsupervised domain adaptation (UDA) for semantic segmentation. Prior arts, however, overlook thediscrepancy between semantic and depth features, as well as the reliability of feature fusion, thus leadingto suboptimal segmentation pe rformance.”
GuangdongPeople’s Republic of ChinaA siaRobotics and AutomationRoboticsHong Kong University of Science and Tech nology
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