A lightweight CNN upsampler, distilled from FeatUp features, makes frozen DINOv2 patch features sharp enough for interactive segmentation of micrographs with sparse labels, and its workflow beats fine-tuning a U-Net in speed and label efficiency.
Quantification and modeling of mechanical degradation in lithium-ion batteries based on nanoscale imaging,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Maybe you don't need a U-Net: convolutional feature upsampling for materials micrograph segmentation
A lightweight CNN upsampler, distilled from FeatUp features, makes frozen DINOv2 patch features sharp enough for interactive segmentation of micrographs with sparse labels, and its workflow beats fine-tuning a U-Net in speed and label efficiency.