82 citations · 106 across the 12 of their papers we have counts for
3 papers · 1 filter
Self-Training of Handwritten Word Recognition for Synthetic-to-Real Adaptation
Fabian Wolf, Gernot A. Fink
Performances of Handwritten Text Recognition (HTR) models are largely determined by the availability of labeled and representative training samples. However, in many application sc…
Recognition-free Question Answering on Handwritten Document Collections
Oliver Tüselmann, Friedrich Müller, Fabian Wolf +1
In recent years, considerable progress has been made in the research area of Question Answering (QA) on document images. Current QA approaches from the Document Image Analysis comm…
UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs
Philipp Oberdiek, Gernot A. Fink, Matthias Rottmann
We present an approach to quantifying both aleatoric and epistemic uncertainty for deep neural networks in image classification, based on generative adversarial networks (GANs). Wh…