Yongbin Guo

A Parameter-Efficient and Fine-Grained Prompt Learning for Vision-Language Models

Current vision-language models (VLMs) understand complex vision-text tasks by extracting overall semantic information from large-scale cross-modal associations. However, extracting from large-scale cross-modal associations often smooths out semantic details and requires large computations, limiting…