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(Corresponding authors: Tingfa Xu; Jianan Li.)
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S3GNet achieves unprecedented accuracy in hyperspectral salient object detection by effectively distinguishing between intrinsic material properties and misleading spectral variations.
Achieve faster, more accurate hyperspectral image classification by decoupling pixel clustering from classification, yielding region-level consistency and boundary alignment.