Learning Spectral Allocation: A Fractional Diffusion Framework for Adaptive Volumetric Segmentation
arXiv:2609.27217v1 Announce Type: new Abstract: We address adaptive computation in 3D medical image segmentation: instead of designing another backbone, we ask how much spectral mixing each network stage needs and let optimization answer. We derive FHEAT, a two-parameter operator family, from the d…
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- 2026-09-24 04:00 · arXiv cs.CV
Learning Spectral Allocation: A Fractional Diffusion Framework for Adaptive Volumetric Segmentation