PEFD recovers fine spectral details without ground truth by exploiting projective geometry and adapting foundation models, nearing supervised performance on surgical and automotive data.
Fine-Tuning for Bayer Demosaicking Through Periodic-Consistent Self- Supervised Learning.IEEE Signal Processing Letters, 31: 989–993
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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.