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    Algorithm training accuracy experiments. by Yingying Liu (360782)

    Published 2025
    “…The research focuses on the advantages and problems of residual networks and depth-wise separable convolution modules, designs a new remote sensing image change detection model, and finally sets up experiments for verification. The average accuracy of the proposed detection model before and after training convergence was 0.54 and 0.97. …”
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