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Confidence-calibrated covariate shift correction for few-shot classification in vision-language models

Confidence calibration and covariate shift correction for few-shot classification in vision-language models.

CVPR Workshops, 2025.

Note

Corrects for the distribution shift between a vision-language model’s pretraining data and a new target domain, and calibrates the confidence it reports in the few-shot regime.

Reference

Confidence-calibrated covariate shift correction for few-shot classification in vision-language models
CVPR Workshops, 2025.
https://scholar.google.com/scholar?q=%22Confidence-calibrated%20covariate%20shift%20correction%20for%20few-shot%20classification%20in%20vision-language%20models%22

The publisher record holds the author list.

Details

  • TypeConference paper
  • AreasFoundation models for biology and medicine

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