首页|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)
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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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.”
GuangzhouPeople’s Republic of ChinaA siaComputational IntelligenceMachine LearningXidian University
NETL
NSTL
IEEE
