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MSCoTDet: Language-driven Multi-modal Fusion for Improved Multispectral Pedestrian Detection
Specifically, we generate text descriptions of the pedestrian in each RGB and thermal modality and design a Multispectral Chain-of-Thought (MSCoT) prompting, which models a step-by-step process to facilitate cross-modal reasoning at the semantic level and perform accurate detection.
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