Applying variational Bayesian inference to the CLAP linear probe adapter improves calibration and high-confidence coverage in CLIP few-shot classification, with a modest accuracy trade-off.
Food-101 – mining discriminative components with ran- dom forests
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
dataset 1
citation-polarity summary
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1roles
dataset 1polarities
use dataset 1representative citing papers
citing papers explorer
-
BayesAdapter: enhanced uncertainty estimation in CLIP few-shot adaptation
Applying variational Bayesian inference to the CLAP linear probe adapter improves calibration and high-confidence coverage in CLIP few-shot classification, with a modest accuracy trade-off.