Robotics & Machine Learning Daily News2024,Issue(Jun.18) :42-43.

Researchers from Xidian University Detail New Studies and Findings in the Area o f Computational Intelligence (Apr-net Tracker: Attention Pyramidal Residual Netw ork for Visual Object Tracking)

来自西甸大学的研究人员详细介绍了计算智能领域的新研究和发现(apr-net Tracker:视觉目标跟踪的注意金字塔残余网络)

Robotics & Machine Learning Daily News2024,Issue(Jun.18) :42-43.

Researchers from Xidian University Detail New Studies and Findings in the Area o f Computational Intelligence (Apr-net Tracker: Attention Pyramidal Residual Netw ork for Visual Object Tracking)

来自西甸大学的研究人员详细介绍了计算智能领域的新研究和发现(apr-net Tracker:视觉目标跟踪的注意金字塔残余网络)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-机器学习-计算智能的最新研究结果已经发表。据NewsRx编辑的《广州外报》报道,“视觉目标跟踪由于其在真实视频场景中能够准确识别运动目标的能力而受到广泛关注。近年来,跟踪性能有了显著提高。”这项研究的财政支持来自国家奖学金基金。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing - Computational Intelligence have been published. According to news reportin g out of Guangzhou, People's Republic of China, by NewsRx editors, research stat ed, "Visual object tracking has attracted much attention thanks to its remarkabl e capability to identify a moving target accurately in real-world video scenario s. Recently, tracking performance has improved significantly." Financial support for this research came from State Scholarship Fund.

Key words

Guangzhou/People's Republic of China/A sia/Computational Intelligence/Machine Learning/Xidian University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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