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Found 3 papers, 1 papers with code
DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis
Lastly, we compare models trained on PubLayNet, DocBank and DocLayNet, showing that layout predictions of the DocLayNet-trained models are more robust and thus the preferred choice for general-purpose document-layout analysis.
Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale
In this paper, we present a modular, cloud-based platform to ingest documents at scale.
Corpus Conversion Service: A machine learning platform to ingest documents at scale [Poster abstract]
We present a platform to ingest documents at scale which is powered by Machine Learning techniques and allows the user to train custom models on document collections.
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