Structured-Condensed Prompt Tuning in Vision-Language Models for Fine-grained Image Recognition

Fine-grained image recognition poses a significant challenge due to the substantial expertise and effort required for manual annotation. Vision-language models (VLMs) like CLIP provide a compelling zero-shot alternative, reducing reliance on extensive labeled data. However, their ability to capture ...