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Bridging RGB-T Image Fusion and Semantic Segmentation via Multi-Task Collaborative Learning
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DOI：10.1016/j.inffus.2025.103988.png)
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Abstract
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• Build a multi-task learning framework for joint image fusion and segmentation • Propose modality-aware feature fusion to integrate visual and semantic cues • Design semantic-aware image fusion to highlight multi-modal salient features • Conduct quantitative and qualitative experiments to verify the superiority