首页|Investigators at Robert Bosch GmbH Describe Findings in Robotics and Automation (Self-supervised Representation Learning From Temporal Ordering of Automated Dri ving Sequences)
Investigators at Robert Bosch GmbH Describe Findings in Robotics and Automation (Self-supervised Representation Learning From Temporal Ordering of Automated Dri ving Sequences)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics - Ro botics and Automation have been published.According to news reporting originati ng in Stuttgart, Germany, by NewsRx journalists, research stated,“Self-supervis ed feature learning enables perception systems to benefit from the vast raw data recorded byvehicle fleets worldwide. While video-level self-supervised approac hes have shown strong generalizabilityon classification tasks, the potential to learn dense representations from sequential data has been relativelyunexplored .”
StuttgartGermanyEuropeRobotics and AutomationRoboticsBusinessBusinessRobert Bosch GmbH
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