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Recent advances in large vision-language models (LVLMs) typically employ vision encoders based on the Vision Transformer (ViT) architecture. The division of the images into patches by ViT results in a ...
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Enabling existing pretrained models to become stronger with minimal fine-tuning CLIP is one of the most important multimodal foundational models today, aligning visual and textual signals into a ...