Summary of Visual Text Matters: Improving Text-kvqa with Visual Text Entity Knowledge-aware Large Multimodal Assistant, by Abhirama Subramanyam Penamakuri et al.
Visual Text Matters: Improving Text-KVQA with Visual Text Entity Knowledge-aware Large Multimodal Assistant
by Abhirama Subramanyam Penamakuri, Anand Mishra
First submitted to arxiv on: 24 Oct 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper revisits knowledge-aware text-based visual question answering (Text-KVQA), leveraging modern advancements in large multimodal models (LMMs). The authors propose two main contributions: VisTEL, a principled approach for visual text entity linking using state-of-the-art visual text recognition and LMMs; and KaLMA, a knowledge-aware large multimodal assistant that integrates visual text entity knowledge with an LMM to provide accurate answers. The authors compare their approach to traditional visual question answering, pre-LMMs, LMMs, and prior top-performing methods on Text-KVQA datasets, achieving a substantial 23.3% improvement over the previous best approach. The proposed implementation is publicly available. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how computers can answer questions about images based on text in the image. It’s like when you’re trying to figure out what’s going on in a picture and you need to use the words in it to help you understand. The authors came up with two new ways for computers to do this: VisTEL, which links the words in an image to the right answer, and KaLMA, which uses a big computer program that can understand lots of things to get the right answer. They tested these methods against some other ways that computers have tried before and found that their methods worked much better! |
Keywords
» Artificial intelligence » Entity linking » Question answering
