Robotics & Machine Learning Daily News2024,Issue(MAY.3) :110-111.

Investigators at Robert Bosch GmbH Describe Findings in Robotics and Automation (Self-supervised Representation Learning From Temporal Ordering of Automated Dri ving Sequences)

Robotics & Machine Learning Daily News2024,Issue(MAY.3) :110-111.

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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Abstract

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 .”

Key words

Stuttgart/Germany/Europe/Robotics and Automation/Robotics/Business/Business/Robert Bosch GmbH

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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