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Enhancing Vision-Language Models: Validation-free Adapters and LLM-based Extensions
Vision-language models such as Contrastive Language-Image Pre-training (CLIP) learn joint representations of images and text from web-scale data, enabling zero-shot image classification. However, adapting these models to new domains with limited labelled data presents three challenges: exi
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