Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy

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.

Beyond Cats and Dogs: Semi-supervised Classification of fuzzy labels with overclustering

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.

General Classification Image Classification

Panoptic Instance Segmentation on Pigs

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.

Instance Segmentation Panoptic Segmentation +1