Contrastive language–image pre-training
Technique in neural networks for learning joint representations of text and images
Contrastive language–image pre-training
Contrastive language–image pre-training (CLIP) is a technique for training a pair of neural network models, one for image understanding and one for text understanding, using a contrastive objective. This method has enabled broad applications across multiple domains, including cross-modal retrieval, text-to-image generation, and aesthetic ranking.
Read on Wikipedia · Image OpenAI, MIT
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