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SMDDFNet: State-space Modeling and Dynamic Dual Fusion Network for Traffic Sign Detection
Traffic sign detection is a challenging visual signal processing task for advanced driver assistance, where small objects, scale variation, and occlusion limit conventional detectors with fixed receptive fields. This paper proposes State-space Modeling and Dynamic Dual Fusion Network (SMDDFNet), a d
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