NaviDC-OCR：兼顾电子与拍照文档的解析方法 NaviDC-OCR: Navigating Document Parsing Across Digital and Camera-Captured Documents

精读摘要

文档解析的目标是把非结构化文档转成机器可读的结构化表示，视觉语言模型（VLM）让这一领域进步明显，但仍有两大难题。解耦式方法严重依赖版面分析，拍照文档的几何畸变会引发级联错误；端到端方法虽摆脱了对显式版面检测的依赖，也存在自身短板。NaviDC-OCR 旨在同时驾驭电子文档与相机拍摄文档两种场景，提升解析鲁棒性。 Document parsing turns unstructured documents into machine-readable representations, and VLMs have advanced the field, but two challenges remain. Decoupled methods rely heavily on layout analysis, where geometric distortions in camera-captured documents cause cascading errors, while end-to-end methods have their own limitations. NaviDC-OCR aims to handle both digital and camera-captured documents robustly.