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Ranking Infrared-Visible Fusion the Way Humans Do: A Learned Pairwise Preference Measure

Liu, Haoran et al.
arXiv (All) · Papers
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artificial-intelligencecomputer-vision-and-pattern-recognitioni-2-10i-4-8i-5-4
Human pairwise comparison provides a direct basis for perceptual infrared-visible image fusion assessment, but dense annotation becomes costly as method pools grow. We present the Learned Perceptual Image Fusion Measure (LPIFM), among the earliest learned fusion assessors trained directly on dense h
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