Abstract: The combination of convolutional neural networks and vision transformers has garnered considerable attention in hyperspectral image (HSI) classification due to their abilities to enhance the ...
Imaging technology has transformed how we observe the universe—from mapping distant galaxies with radio telescope arrays to ...
Abstract: This work investigates the problem of efficiently learning discriminative low-dimensional (LD) representations of multiclass image objects. We propose a generic end-to-end approach that ...
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