PARAGRAPH2GRAPH: A GNN-based framework for layout paragraph analysis

24 April 2023

Papers citing "PARAGRAPH2GRAPH: A GNN-based framework for layout paragraph analysis"

6 / 6 papers shown

Title
PdfTable: A Unified Toolkit for Deep Learning-Based Table Extraction Lei Sheng Shuai-Shuai Xu LMTD 32 0 0 08 Sep 2024
Document AI: A Comparative Study of Transformer-Based, Graph-Based Models, and Convolutional Neural Networks For Document Layout Analysis Sotirios Kastanas Shaomu Tan Yijiang He 25 1 0 29 Aug 2023
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding Yang Xu Yiheng Xu Tengchao Lv Lei Cui Furu Wei ... D. Florêncio Cha Zhang Wanxiang Che Min Zhang Lidong Zhou ViT MLLM 145 498 0 29 Dec 2020
GFTE: Graph-based Financial Table Extraction Yiren Li Zheng Huang Junchi Yan Yi Zhou Fan Ye Xianhui Liu 24 36 0 17 Mar 2020
Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection Shi-Xue Zhang Xiaobin Zhu Jie-Bo Hou Chang-rui Liu Chun Yang Hongfa Wang Xu-Cheng Yin GNN 63 182 0 17 Mar 2020
FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents Guillaume Jaume H. K. Ekenel Jean-Philippe Thiran 122 355 0 27 May 2019