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S3GNet achieves unprecedented accuracy in hyperspectral salient object detection by effectively distinguishing between intrinsic material properties and misleading spectral variations.
FressDet achieves state-of-the-art multispectral object detection while using 93% fewer parameters, revolutionizing efficiency in the field.
Achieve faster, more accurate hyperspectral image classification by decoupling pixel clustering from classification, yielding region-level consistency and boundary alignment.