PEFD recovers fine spectral details without ground truth by exploiting projective geometry and adapting foundation models, nearing supervised performance on surgical and automotive data.
Unsu- pervised Deep Learning-Based Pansharpening With Jointly Enhanced Spectral and Spatial Fidelity.IEEE Transactions on Geoscience and Remote Sensing, 61:1–17
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Perspective-Equivariant Fine-tuning for Multispectral Demosaicing without Ground Truth
PEFD recovers fine spectral details without ground truth by exploiting projective geometry and adapting foundation models, nearing supervised performance on surgical and automotive data.