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Found 2 papers, 1 papers with code
Feedback Refined Local-Global Network for Super-Resolution of Hyperspectral Imagery
To be specific, we develop a new Feedback Structure and a Local-Global Spectral Block to alleviate the difficulty in spatial and spectral feature extraction.
Super-Resolution Domain Adaptation Networks for Semantic Segmentation via Pixel and Output Level Aligning
SRDA-Net can simultaneously achieve the super-resolution task and the domain adaptation task, thus satisfying the requirement of semantic segmentation for remote sensing images which usually involve various resolution images.
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