1 code implementation • 21 Jun 2023 • Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Johannes Brünger, Reinhard Koch
In the field of image classification, existing methods often struggle with biased or ambiguous data, a prevalent issue in real-world scenarios.
1 code implementation • 13 Oct 2021 • Lars Schmarje, Johannes Brünger, Monty Santarossa, Simon-Martin Schröder, Rainer Kiko, Reinhard Koch
We propose a novel loss to improve the overclustering capability of our framework and show the benefit of overclustering for fuzzy labels.
1 code implementation • 3 Dec 2020 • Lars Schmarje, Johannes Brünger, Monty Santarossa, Simon-Martin Schröder, Rainer Kiko, Reinhard Koch
We propose a novel loss to improve the overclustering capability of our framework and show on the common image classification dataset STL-10 that it is faster and has better overclustering performance than previous work.
no code implementations • 21 May 2020 • Johannes Brünger, Maria Gentz, Imke Traulsen, Reinhard Koch
In recent years, methods based on deep learning have been introduced and have shown pleasingly good results.