Robotics & Machine Learning Daily News2024,Issue(Jan.3) :97-98.

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)

Robotics & Machine Learning Daily News2024,Issue(Jan.3) :97-98.

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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Abstract

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.”

Key words

Hangzhou/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robotics/Zhejiang University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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