Search Results for author:
Found 3 papers, 2 papers with code
DMSSN: Distilled Mixed Spectral-Spatial Network for Hyperspectral Salient Object Detection
To address these challenges, we propose a novel approach termed the Distilled Mixed Spectral-Spatial Network (DMSSN), comprising a Distilled Spectral Encoding process and a Mixed Spectral-Spatial Transformer (MSST) feature extraction network.
Spectral-wise Implicit Neural Representation for Hyperspectral Image Reconstruction
The Fourier coordinate encoder enhances the SINR's ability to emphasize high-frequency components, while the spectral scale factor module guides the SINR to adapt to the variable number of spectral channels.
Spectrum-driven Mixed-frequency Network for Hyperspectral Salient Object Detection
The Spectral Saliency approximates the region of salient objects, while the Spectral Edge captures edge information of salient objects.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
