Robotics & Machine Learning Daily News2024,Issue(Nov.14) :67-67.

New Findings on Artificial Intelligence Described by Investigators at Changzhou University (Residual Swinv2 Transformer Coordinate Attention Network for Image S uper Resolution)

常州大学研究人员描述的人工智能新发现(残差Swinv2变压器坐标注意网络)

Robotics & Machine Learning Daily News2024,Issue(Nov.14) :67-67.

New Findings on Artificial Intelligence Described by Investigators at Changzhou University (Residual Swinv2 Transformer Coordinate Attention Network for Image S uper Resolution)

常州大学研究人员描述的人工智能新发现(残差Swinv2变压器坐标注意网络)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于人工智能的最新研究成果已经发表。据新闻报道来自中华人民共和国常州,由NewsRx记者报道,研究称,“Swin变换器已被设计并应用于各种图像超分辨率(SR)应用。”RSTCANet是近年来图像复原的一种方法,它将Swin变压器和信道相结合注意。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Artificial In telligence have been published. According to newsoriginating from Changzhou, Pe ople’s Republic of China, by NewsRx correspondents, research stated,“Swin Trans formers have been designed and used in various image super-resolution (SR) appli cations.One of the recent image restoration methods is RSTCANet, which combines Swin Transformer with ChannelAttention.”

Key words

Changzhou/People’s Republic of China/A sia/Artificial Intelligence/Changzhou University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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