activity
20202022
most citedBeyond Cats and Dogs: Semi-supervised Classification of fuzzy labels with overclustering

15 citations · 40 across the 4 of their papers we have counts for

collaborators

5 papers

physics.app-ph2022★ 11 cited

Strain-invariant, highly water stable all-organic soft conductors based on ultralight multi-layered foam-like framework structures

Igor Barg, Niklas Kohlmann, Florian Rasch +6

Soft and flexible conductors are essential in the development of soft robots, wearable electronics, as well as electronic tissue and implants. However, conventional soft conductors…

cs.CV2021★ 14 cited

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

Lars Schmarje, Johannes Brünger, Monty Santarossa +3

Deep learning has been successfully applied to many classification problems including underwater challenges. However, a long-standing issue with deep learning is the need for large…

cs.CV2021

A data-centric approach for improving ambiguous labels with combined semi-supervised classification and clustering

Lars Schmarje, Monty Santarossa, Simon-Martin Schröder +5

Consistently high data quality is essential for the development of novel loss functions and architectures in the field of deep learning. The existence of such data and labels is us…

cs.CV2020★ 15 cited

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

Lars Schmarje, Johannes Brünger, Monty Santarossa +3

A long-standing issue with deep learning is the need for large and consistently labeled datasets. Although the current research in semi-supervised learning can decrease the require…

cs.CV2020

MorphoCluster: Efficient Annotation of Plankton images by Clustering

Simon-Martin Schröder, Rainer Kiko, Reinhard Koch

In this work, we present MorphoCluster, a software tool for data-driven, fast and accurate annotation of large image data sets. While already having surpassed the annotation rate o…