Robotics & Machine Learning Daily News2024,Issue(Mar.18) :106-107.DOI:10.1109/TETCI.2024.3352490

Studies from Xidian University Add New Findings in the Area of Computational Int elligence (Stfnet: Self-supervised Transformer for Infrared and Visible Image Fu sion)

Robotics & Machine Learning Daily News2024,Issue(Mar.18) :106-107.DOI:10.1109/TETCI.2024.3352490

Studies from Xidian University Add New Findings in the Area of Computational Int elligence (Stfnet: Self-supervised Transformer for Infrared and Visible Image Fu sion)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning - Com putational Intelligence is the subject of a report. According to news reporting originating in Guangzhou, People’s Republic of China, by NewsRx journalists, res earch stated, “Most of the existing infrared and visible image fusion algorithms rely on hand-designed or simple convolution-based fusion strategies. However, t hese methods cannot explicitly model the contextual relationships between infrar ed and visible images, thereby limiting their robustness.”

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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