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2020 – today
- 2022
[j1]Nina Volkmann
, Claudius Zelenka, Archana Malavalli Devaraju, Johannes Brünger, Jenny Stracke, Birgit Spindler, Nicole Kemper, Reinhard Koch:
Keypoint Detection for Injury Identification during Turkey Husbandry Using Neural Networks. Sensors 22(14): 5188 (2022)- [c2]Lars Schmarje, Monty Santarossa, Simon-Martin Schröder, Claudius Zelenka, Rainer Kiko, Jenny Stracke, Nina Volkmann, Reinhard Koch:
A Data-Centric Approach for Improving Ambiguous Labels with Combined Semi-supervised Classification and Clustering. ECCV (8) 2022: 363-380 - [c1]Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch:
Is one annotation enough? - A data-centric image classification benchmark for noisy and ambiguous label estimation. NeurIPS 2022 - [d4]Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch:
Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation. Version v0.1. Zenodo, 2022 [all versions]
- [d3]Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch:
Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation. Version v1.0. Zenodo, 2022 [all versions] - [d2]Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch:
Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation. Version v1.0. Zenodo, 2022 [all versions] - [d1]Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch:
Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation. Version v1.0. Zenodo, 2022 [all versions] - [i2]Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch:
Is one annotation enough? A data-centric image classification benchmark for noisy and ambiguous label estimation. CoRR abs/2207.06214 (2022) - 2021
- [i1]Lars Schmarje, Monty Santarossa, Simon-Martin Schröder, Claudius Zelenka, Rainer Kiko, Jenny Stracke, Nina Volkmann, Reinhard Koch:
S2C2 - An orthogonal method for Semi-Supervised Learning on fuzzy labels. CoRR abs/2106.16209 (2021)
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