1 code implementation • 2 Jun 2022 • Birgit Pfitzmann, Christoph Auer, Michele Dolfi, Ahmed S Nassar, Peter W J Staar
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.
no code implementations • 24 May 2018 • Peter W J Staar, Michele Dolfi, Christoph Auer, Costas Bekas
In this paper, we present a modular, cloud-based platform to ingest documents at scale.
no code implementations • 15 May 2018 • Peter W J Staar, Michele Dolfi, Christoph Auer, Costas Bekas
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.