首页|Findings from Southwest Jiaotong University Yields New Data on Robotics and Mach ine Learning (Calibrated Aleatoric Uncertaintybased Adaptive Label Distribution Learning for Pose Estimation of Sichuan Peppers)
Findings from Southwest Jiaotong University Yields New Data on Robotics and Mach ine Learning (Calibrated Aleatoric Uncertaintybased Adaptive Label Distribution Learning for Pose Estimation of Sichuan Peppers)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics and Machine Learning have been published. Accordingto news reporting out of Chengdu , People’s Republic of China, by NewsRx editors, research stated, “Poseestimati on is crucial to guide a visual harvesting robot to detach crops. In this articl e, pose estimationfor Sichuan peppers is formulated as an ordinal classificatio n problem by defining several pose labels.”Financial support for this research came from Key Research and Development Proje ct of SichuanProvince, China.
ChengduPeople’s Republic of ChinaAsi aRobotics and Machine LearningSouthwest Jiaotong University
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