Abstract: Confidence calibration in classification models is a vital technique for accurately estimating the posterior probabilities of predicted results, which is crucial for assessing the likelihood ...

Abstract: The use of learning prompts to adapt pretrained vision–language models (VLMs) for downstream tasks has gained significant attention due to its potential to reduce training costs compared to ...