AI RESEARCH
RTFDNet: Fusion-Decoupling for Robust RGB-T Segmentation
arXiv CS.CV
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ArXi:2603.09149v1 Announce Type: new RGB-Thermal (RGB-T) semantic segmentation is essential for robotic systems operating in low-light or dark environments. However, traditional approaches often overemphasize modality balance, resulting in limited robustness and severe performance degradation when sensor signals are partially missing. Recent advances such as cross-modal knowledge distillation and modality-adaptive fine-tuning attempt to enhance cross-modal interaction, but they typically decouple modality fusion and modality adaptation, requiring multi-stage