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OmniParser: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognition
March 29, 2024, 4:44 a.m. | Jianqiang Wan, Sibo Song, Wenwen Yu, Yuliang Liu, Wenqing Cheng, Fei Huang, Xiang Bai, Cong Yao, Zhibo Yang
cs.CV updates on arXiv.org arxiv.org
Abstract: Recently, visually-situated text parsing (VsTP) has experienced notable advancements, driven by the increasing demand for automated document understanding and the emergence of Generative Large Language Models (LLMs) capable of processing document-based questions. Various methods have been proposed to address the challenging problem of VsTP. However, due to the diversified targets and heterogeneous schemas, previous works usually design task-specific architectures and objectives for individual tasks, which inadvertently leads to modal isolation and complex workflow. In this …
arxiv cs.cv extraction framework information information extraction key recognition table text type
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