AI RESEARCH
Frequency-Guided Fusion For RGB-Thermal Semantic Segmentation
arXiv CS.CV
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ArXi:2605.26273v1 Announce Type: new Semantic segmentation in complex environments such as urban driving scenes remains challenging under adverse lighting conditions, where RGB images alone provide insufficient information. RGB-Thermal fusion leverages the complementary strengths of visible and infrared imagery to improve scene understanding; however, effectively integrating these heterogeneous modalities at varying levels of feature abstraction remains an open problem.