This is a Plain English Papers summary of a research paper called AI Finds Text in Images: New Model Beats GPT-4V. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Overview
- MLLMs (Multimodal Large Language Models) struggle with correctly identifying text in images
- New TEXT-VG benchmark created to test visual text grounding
- Model named "CAPPA" developed to improve text localization in images
- Fine-tuning with specially created dataset improved performance significantly
- Results demonstrate stronger capability to understand and locate text in visual content
Plain English Explanation
Multimodal Large Language Models can analyze images and text together, but they often fail at a seemingly simple task: finding where specific text appears in an image. This paper tackles this problem by creating both a way to test how well models locate text in images (the [TEX...
