Abstract: Few-shot image classification (FSIC) is a critical task in computer vision that aims to accurately classify new categories with only a limited number of labeled examples. This capability is ...
Abstract: Modeling discriminative spectral-spatial features is a key to improving hyperspectral image classification performance. However, existing methods cannot fully characterize the spatial ...
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