What is CLIP (Contrastive Language — Image Pre-training) and how it can be used for semantic image search?

Author(s): Vatsal Saglani

Originally published on Towards AI.

Photo by Maria Teneva on Unsplash

Recently, the researchers at OpenAI published a multi-modal architecture that can be used for 30 different tasks once pre-trained on around 400 million image-text pairs. This methodology isn’t that new previously many other researchers have tried to use a combination of Text Transformer and Pre-Trained CNN model to pre-train a model on Image-Text pairs and then use it on different downwards tasks. But for varieties of reasons those approaches weren’t that successful as discussed in the paper. A variety of pre-training approaches were tried, both predictive and contrastive; to achieve SOTA level accuracy on different… Read the full blog for free on Medium.

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Published via Towards AI