Research on Brain-Computer Interfaces (BCIs) stands at the intersection of neuroscience, engineering, and artificial intelligence, aiming to bridge ...
Abstract: Traditional deep learning methods have achieved remarkable success by leveraging large-scale labeled datasets. However, in real-world applications, acquiring labeled data is often expensive, ...
Abstract: Our study proposes a new approach for building extraction by introducing the Deformable-Convolution Fusion Feature module, based on the Dual-Attention Network and deformable convolution. The ...
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