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CM1 -- A Dataset for Evaluating Few-Shot Information Extraction with Large Vision Language Models
Fabian Wolf, Oliver Tüselmann, Arthur Matei +3
The automatic extraction of key-value information from handwritten documents is a key challenge in document analysis. A reliable extraction is a prerequisite for the mass digitizat…
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…
Annotation-free Learning of Deep Representations for Word Spotting using Synthetic Data and Self Labeling
Fabian Wolf, Gernot A. Fink
Word spotting is a popular tool for supporting the first exploration of historic, handwritten document collections. Today, the best performing methods rely on machine learning tech…
Exploring Confidence Measures for Word Spotting in Heterogeneous Datasets
Fabian Wolf, Philipp Oberdiek, Gernot A. Fink
In recent years, convolutional neural networks (CNNs) took over the field of document analysis and they became the predominant model for word spotting. Especially attribute CNNs, w…