IEEE

Class-Specific Prompt Learning for Vision–Language Models

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 ...
IEEE

A Survey on Confidence Calibration of Deep Learning-Based Classification Models Under Class Imbalance Data

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 ...