Pattern Recognition Group Wins Nakano Award
- News

This year the Nakano Award honouring the best paper was awarded to
Fabian Wolf and Gernot A. Fink
from the Pattern Recognition Group, Department of Computer Science, TU Dortmund, Germany for their paper
Annotation-free Learning of Deep Representations for Word Spotting using Synthetic Data and Self Labeling.
The authors continued the successful works of the pattern recognition group on the topic of word spotting and presented a novel training scheme. A big limitation on the application of word spotting systems based on machine learning is their high demand for manually labeled data. In their work, the authors were able to show that it is feasible to to train a neural network solely on a synthetic dataset and still achieve high retrieval performances.




