Abstract: Flood mapping using remote sensing data is critical to disaster response, especially in real-time monitoring and edge deployment. However, existing deep-learning (DL) models often face ...

Abstract: Visual Convolutional Multi-head Attention (VCMA), a groundbreaking architecture within the realm of deep learning, ingeniously fuses the strengths of Convolutional Neural Networks (CNN) and ...

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The efficacy of deep residual networks is fundamentally predicated on the identity shortcut connection. While this mechanism effectively mitigates the vanishing gradient problem, it imposes a strictly ...