TRivia: Self-supervised Fine-tuning of Vision-Language Models for Table Recognition
Analysis
The article introduces TRivia, a method for improving table recognition using self-supervised fine-tuning of vision-language models. The focus is on leveraging existing models and data to enhance performance in a specific domain. The source being ArXiv suggests this is a research paper, indicating a focus on novel techniques and experimental results.
Key Takeaways
Reference
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