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PCCAU-Net: A Novel Road Extraction Method Based on Coord Convolution and a DCA Module
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CDAU-Net: A Novel CoordConv-Integrated Deep Dual Cross Attention Mechanism for Enhanced Road Extraction in Remote Sensing Imagery
4.3. Comparative Experiment Results and Analysis In this section, a meticulous comparative evaluation of the CDAU-Net architecture is conducted, benchmarking against five contemporaneous state-of-the-art road extraction networks: U-Net [], ResUNet [], HRNetV2 [], DeepLabV3+ [], and DDUNet [].
C2S-RoadNet: Road Extraction Model with Depth-Wise Separable Convolution and Self-Attention
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