Abstract: To tackle the challenges of insufficient global context modeling, blurred object boundaries, and inefficient cross-layer feature fusion in high-resolution urban remote sensing image semantic ...
Abstract: In this study, we present a multistage learning pipeline that utilizes the ResNet-50 architecture as a static feature extractor for multiclass image classification problems. This methodology ...
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