What does "Visual Tokens" mean?
Table of Contents
Visual tokens are small pieces of information that represent parts of an image. They help models understand and process visual data in a way that is similar to how words represent ideas in text.
How They Work
When a computer model looks at an image, it breaks down the picture into these visual tokens. Each token carries specific details, allowing the model to recognize objects, colors, and shapes. By using visual tokens, models can learn and make sense of images more efficiently.
Benefits of Visual Tokens
Using visual tokens can lower the amount of computer power needed for tasks. This makes it possible to work with larger sets of data, like long documents or complex scenes, without slowing down. It also allows models to focus on the most important parts of an image, which improves the overall understanding of the visual content.
Applications
Visual tokens are useful in various tasks, such as answering questions about pictures, searching through documents, or generating videos. By improving how models work with visuals, they can handle more complicated tasks and give better results.