This is because CLIP is trained using contrastive loss, where the goal is to maximize the similarity between the embeddings of images and text.
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CLIP Training: Maximizing Image-Text Embedding Similarity
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Global AI News Aggregator
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This is because CLIP is trained using contrastive loss, where the goal is to maximize the similarity between the embeddings of images and text.
2/5
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