Sine-guided network outperforms 21 methods in remote-sensing detection
A sine-guided Transformer–CNN network significantly outperformed 21 comparison methods on three benchmark datasets for salient-object detection in optical remote-sensing imagery.
A sine-guided Transformer–CNN network significantly outperformed 21 comparison methods on three benchmark datasets for salient-object detection in optical remote-sensing imagery.
A new RGB-depth salient object detection framework combines multi-level attention-based feature fusion with a WebP compression and denoising defense that ...
In a development that could reshape how machines see in the dark, a team of researchers at Jiangxi University of ...
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© 2026 Scienmag - Science Magazine