Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks

This paper introduces BEiT, a method for pre-training visual transformers. It's like teaching a computer to understand images by having it predict missing parts of the image, similar to how language models predict missing words. This pre-training helps the model perform well on various vision and vision-language tasks, achieving state-of-the-art results by learning a general understanding of visual concepts.