LoR-VP adapts frozen vision models by adding a rank-4 low-rank prompt across the full image, outperforming prior visual prompting methods while using far fewer prompt parameters.
Sample-specific masks for visual reprogramming-based prompting
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation
LoR-VP adapts frozen vision models by adding a rank-4 low-rank prompt across the full image, outperforming prior visual prompting methods while using far fewer prompt parameters.