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Text Layout-Aware Pre-training for Enriched Vision-Language Models

💡 原文英文，约100词，阅读约需1分钟。
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内容提要

本研究提出了一种新方法TAP-VL，旨在提升视觉-语言模型处理图像中文本信息的能力。通过将光学字符识别（OCR）信息作为独立模态与模型集成，TAP-VL在多个基准测试中显著提高了性能，展示了其在图像理解中的潜力。

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标签

TAP-VL models 光学字符识别 图像理解 性能提升 视觉-语言模型
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