Document AI
17 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Document AI
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Libraries
Use these libraries to find Document AI models and implementations
EPHOIE
Most implemented papers
Document Understanding Dataset and Evaluation (DUDE)
rubenpt91/MP-DocVQA-Framework
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ICCV 2023
We call on the Document AI (DocAI) community to reevaluate current methodologies and embrace the challenge of creating more practically-oriented benchmarks.
Vision Grid Transformer for Document Layout Analysis
alibabaresearch/advancedliteratemachinery
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ICCV 2023
Document pre-trained models and grid-based models have proven to be very effective on various tasks in Document AI.
Document AI: A Comparative Study of Transformer-Based, Graph-Based Models, and Convolutional Neural Networks For Document Layout Analysis
In this study, we aim to fill these gaps by conducting a comparative evaluation of state-of-the-art models in document layout analysis and investigating the potential of cross-lingual layout analysis by utilizing machine translation techniques.
DocXChain: A Powerful Open-Source Toolchain for Document Parsing and Beyond
alibabaresearch/advancedliteratemachinery
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In this report, we introduce DocXChain, a powerful open-source toolchain for document parsing, which is designed and developed to automatically convert the rich information embodied in unstructured documents, such as text, tables and charts, into structured representations that are readable and manipulable by machines.
DocTrack: A Visually-Rich Document Dataset Really Aligned with Human Eye Movement for Machine Reading
The use of visually-rich documents (VRDs) in various fields has created a demand for Document AI models that can read and comprehend documents like humans, which requires the overcoming of technical, linguistic, and cognitive barriers.
DocRes: A Generalist Model Toward Unifying Document Image Restoration Tasks
This underscores the potential of DocRes across a broader spectrum of document image restoration tasks.
