OpenMMLab Text Detection, Recognition and Understanding Toolbox
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Updated
Jul 15, 2024 - Python
OpenMMLab Text Detection, Recognition and Understanding Toolbox
A curated list of resources for Document Understanding (DU) topic
Code for the paper "PICK: Processing Key Information Extraction from Documents using Improved Graph Learning-Convolutional Networks" (ICPR 2020)
A toolbox of ocr models and algorithms based on MindSpore
Algorithms, papers, datasets, performance comparisons for Document AI. Continuously updating.
Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.
An unofficial PyTorch implementation of "Lin et al. ViBERTgrid: A Jointly Trained Multi-Modal 2D Document Representation for Key Information Extraction from Documents. ICDAR, 2021"
Key information extraction from invoice document with Graph Convolution Network
The task aims at extracting required fields in receipts captured by mobile devices 😄
Official release of RFUND introduced in the MM'2024 paper "PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction"
[MM'2024] Official implementation of "PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction."
利用llm大语言模型提取卡证票据关键信息。Key Information Extraction from Image with LLM(large language model).Basically, it can extract key information from all bills and documents.
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