SatReg uses regression surrogates on two width variables from CM-UNet students to select near-optimal lightweight segmentation architectures for edge satellite deployment without exhaustive search.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
SatReg: Regression-based Neural Architecture Search for Lightweight Satellite Image Segmentation
SatReg uses regression surrogates on two width variables from CM-UNet students to select near-optimal lightweight segmentation architectures for edge satellite deployment without exhaustive search.