Vision R Tokenization Image
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![[2307.02321] MSViT: Dynamic Mixed-scale Tokenization for Vision ...](https://ar5iv.labs.arxiv.org/html/2307.02321/assets/x2.png)















![[논문 정리] Vision Transformers with Mixed-Resolution Tokenization](https://velog.velcdn.com/images/bluein/post/a15ffe7c-7eac-4254-b8e3-a7126d40e4cd/image.png)





































![[2212.11115] What Makes for Good Tokenizers in Vision Transformer?](https://ar5iv.labs.arxiv.org/html/2212.11115/assets/figures/structure.png)


![[论文评述] Focusing on What Matters: Object-Agent-centric Tokenization for ...](https://moonlight-paper-snapshot.s3.ap-northeast-2.amazonaws.com/arxiv/focusing-on-what-matters-object-agent-centric-tokenization-for-vision-language-action-models-0.png)





















![[MM] LaViT: UNIFIED LANGUAGE-VISION PRETRAINING IN LLM WITH DYNAMIC ...](https://bloomberry.github.io/images/2024-08-28/image-20240828141800914.png)



