
In today’s world, CLIP is one of the most important multimodal foundational models. It combines visual and textual signals into a shared feature space using a simple contrastive learning loss on large-scale image-text pairs. As a retriever, CLIP supports many tasks, including zero-shot classification, detection, segmentation, and image-text retrieval. Also, as a feature extractor, it […]
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