RFM-UNet: Hybrid Frequency–Mamba UNet for Remote-Sensing Road Extraction
This study proposes RFM-UNet, a hybrid frequency and state–space network designed for road-network segmentation that consistently outperforms current state-of-the-art methods.
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This study proposes RFM-UNet, a hybrid frequency and state–space network designed for road-network segmentation that consistently outperforms current state-of-the-art methods.
To mitigate background interference and structural ambiguity, a grouped coordinate Mamba block is designed to generate adaptive gating masks for effective feature recalibration and selective boundary emphasis, and a Frequency-Domain Boundary-Enhanced Module is introduced to jointly leverage spatial and frequency repres...
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