Robust PDF Document Conversion Using Recurrent Neural Networks

18 February 2021

Papers citing "Robust PDF Document Conversion Using Recurrent Neural Networks"

6 / 6 papers shown

Title
FETA: Towards Specializing Foundation Models for Expert Task Applications Amit Alfassy Assaf Arbelle Oshri Halimi Sivan Harary Roei Herzig ... Christoph Auer Kate Saenko Peter W. J. Staar Rogerio Feris Leonid Karlinsky 23 19 0 08 Sep 2022
DocLayNet: A Large Human-Annotated Dataset for Document-Layout Analysis B. Pfitzmann Christoph Auer Michele Dolfi A. Nassar Peter W. J. Staar 24 85 0 02 Jun 2022
Delivering Document Conversion as a Cloud Service with High Throughput and Responsiveness Christoph Auer Michele Dolfi A. Carvalho Cesar Berrospi Ramis P. W. J. S. I. Research 27 9 0 01 Jun 2022
TableFormer: Table Structure Understanding with Transformers A. Nassar Nikolaos Livathinos Maksym Lysak Peter W. J. Staar LMTD ViT 11 73 0 02 Mar 2022
VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups Zejiang Shen Kyle Lo Lucy Lu Wang Bailey Kuehl Daniel S. Weld Doug Downey VLM 16 34 0 01 Jun 2021
OpenNMT: Open-Source Toolkit for Neural Machine Translation Guillaume Klein Yoon Kim Yuntian Deng Jean Senellart Alexander M. Rush 273 1,896 0 10 Jan 2017