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From Words to Wavelengths: VLMs for Few-Shot Multispectral Object Detection
Multispectral object detection is critical for safety-sensitive applications such as autonomous driving and surveillance, where robust perception under diverse illumination conditions is essential. However, the limited availability of annotated multispectral data severely restricts the training of d
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