no code implementations • 27 Jul 2023 • Florian Kowarsch, Lisa Weijler, Florian Kleber, Matthias Wödlinger, Michael Reiter, Margarita Maurer-Granofszky, Michael Dworzak
Explainability for Deep Learning Models is especially important for clinical applications, where decisions of automated systems have far-reaching consequences.
1 code implementation • 9 May 2023 • Marco Peer, Florian Kleber, Robert Sablatnig
Our approach is evaluated on two historical datasets (Historical-WI and HisIR19).
no code implementations • 14 Jun 2019 • Stéphane Clinchant, Hervé Déjean, Jean-Luc Meunier, Eva Lang, Florian Kleber
We present in this paper experiments on Table Recognition in hand-written registry books.
4 code implementations • 9 May 2017 • Tobias Grüning, Roger Labahn, Markus Diem, Florian Kleber, Stefan Fiel
Well established text line segmentation evaluation schemes such as the Detection Rate or Recognition Accuracy demand for binarized data that is annotated on a pixel level.
no code implementations • International Conference on Document Analysis and Recognition 2013 • Florian Kleber, Stefan Fiel, Markus Diem, Robert Sablatnig
In this paper a public database for writer retrieval, writer identification and word spotting is presented.