Generalized Visual Language Models
Researchers are exploring ways to use pre-trained language models to process images and generate text. Instead of relying on object detection networks, they're extending these language models to consume visual signals directly. This approach could simplify the task of image captioning and visual question-answering by reducing the need for complex vision encoders.
Researchers are exploring ways to use pre-trained language models to process images and generate text. Instead of relying on object detection networks, they're extending these language models to consume visual signals directly. This approach could simplify the task of image captioning and visual question-answering by reducing the need for complex vision encoders.
---
Why it matters: This matters because it could lead to more efficient and effective image-to-text systems, which have practical applications in areas like accessibility and content creation.
Source: https://lilianweng.github.io/posts/2022-06-09-vlm/
This article was originally published at: https://lilianweng.github.io/posts/2022-06-09-vlm/