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Rainer Kiko
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2020 – today
- 2022
- [j4]David Nakath
, Vasco Grossmann, Rainer Kiko
Fusion von Tauchroboter- und Satellitenmessungen über unterschiedliche Skalen, Messmodelle und spektrale Abtastungen. Inform. Spektrum 45(5): 314-318 (2022) - [j3]Simon-Martin Schröder
Assessing Representation Learning and Clustering Algorithms for Computer-Assisted Image Annotation - Simulating and Benchmarking MorphoCluster. Sensors 22(7): 2775 (2022) - [c3]Lars Schmarje
A Data-Centric Approach for Improving Ambiguous Labels with Combined Semi-supervised Classification and Clustering. ECCV (8) 2022: 363-380 - [c2]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 - [d6]Lars Schmarje
Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation. Version v0.1. Zenodo, 2022 [all versions] - [d5]Lars Schmarje
Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation. Version v1.0. Zenodo, 2022 [all versions] - [d4]Lars Schmarje
Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation. Version v1.0. Zenodo, 2022 [all versions] - [d3]Lars Schmarje
Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation. Version v1.0. Zenodo, 2022 [all versions] - [i5]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
- [j2]Lars Schmarje
Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy. Sensors 21(19): 6661 (2021) - [d2]Lars Schmarje
Fuzzy Overclustering. Version 2. Zenodo, 2021 [all versions] - [d1]Lars Schmarje
Fuzzy Overclustering. Version 3. Zenodo, 2021 [all versions] - [i4]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) - [i3]Lars Schmarje, Johannes Brünger, Monty Santarossa, Simon-Martin Schröder, Rainer Kiko, Reinhard Koch:
Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy. CoRR abs/2110.06630 (2021) - 2020
- [j1]Simon-Martin Schröder
MorphoCluster: Efficient Annotation of Plankton Images by Clustering. Sensors 20(11): 3060 (2020) - [i2]Simon-Martin Schröder
MorphoCluster: Efficient Annotation of Plankton images by Clustering. CoRR abs/2005.01595 (2020) - [i1]Lars Schmarje, Johannes Brünger, Monty Santarossa, Simon-Martin Schröder, Rainer Kiko, Reinhard Koch:
Beyond Cats and Dogs: Semi-supervised Classification of fuzzy labels with overclustering. CoRR abs/2012.01768 (2020)
2010 – 2019
- 2018
- [c1]Simon-Martin Schröder
Low-Shot Learning of Plankton Categories. GCPR 2018: 391-404
Coauthor Index
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