Researchers at Apple Propose MobileCLIP: A New Family of Image-Text Models Optimized for Runtime Performance through Multi-Modal Reinforced Training

In Multi-modal learning, large image-text foundation models have demonstrated outstanding zero-shot performance and improved stability across a wide range of downstream tasks. Models such as Contrastive Language-Image Pretraining (CLIP) show a significant improvement in Multi-modal AI because of its ability to analyze both images and text simultaneously. Recently, a wide range of architectures have proved […]

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