CLIP
Introduction
CLIP (Contrastive Language-Image Pretraining) is a neural network architecture that learns to connect images and text by training on a large dataset of image-text pairs. It uses a contrastive loss function to align the representations of images and their corresponding textual descriptions in a shared embedding space.