Abstract
Multimodal learning refers to the representation of different modalities using a unified model. Modalities include images, text, audio, etc. In this article, we will first introduce the basic approach of CLIP which is a vision language model with the power of connecting different modalities, and then present different models inspired by CLIP on various downstream tasks. In the end, we conclude with a summary of the prospects and limitations of multimodal learning.
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