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Guizhou University
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InfraQR reveals that infrared vision-language models can be drastically misled by structured edge-placed perturbations, with accuracy plummeting from 98.67% to 0.70%.
Infrared-aware adaptation can boost CLIP performance by over 12 points, transforming how models interpret thermal imagery.