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English(EN) NaviDC-OCR: Navigating Document Parsing Across Digital and Camera-Captured Documents

NaviDC-OCR框架通过变形感知学习增强文档解析

NaviDC-OCR是一个新的视觉语言框架,旨在通过解决处理变形的相机捕获文档的挑战和增强结构推理来改进文档解析。该框架结合了变形感知学习、自适应布局采样和内容-结构解耦的训练策略。实验表明,NaviDC-OCR在包括OmniDocBench v1.6和Wild-OmniDocBench在内的多个基准测试中取得了最先进的结果,并在ICDAR 2026 Sci-ImageMiner挑战赛中获得第一名。 AI

影响 该框架可以提高AI系统处理文档的准确性和结构理解能力。

排序理由 该条目描述了一篇关于文档解析新框架的最新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 Hugging Face Daily Papers 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

NaviDC-OCR框架通过变形感知学习增强文档解析

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该条目描述了一篇关于文档解析新框架的最新研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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完整方法见我们的编辑标准。

报道来源 [1]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    NaviDC-OCR:跨越数字和摄像头捕获文档的文档解析导航

    NaviDC-OCR is a unified vision-language framework that integrates deformation-aware learning, adaptive layout sampling, and decoupled content-structure training to improve document parsing accuracy and structural reasoning.