Abstract: We introduce dual attentive U-Net (DAU-Net), a deep learning model for semantic segmentation designed to tackle the challenges of multiclass imbalanced datasets with limited samples. Our ...
Abstract: Semantic segmentation is critical in remote sensing applications such as urban planning, disaster management, and environmental monitoring. However, segmenting complex satellite images ...
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