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Lars Schmarje
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2020 – today
- 2024
- [b1]Lars Schmarje:
Addressing the Challenge of Ambiguous Data in Deep Learning: A Strategy for Creating High-quality Image Annotations with Human Reliability and Judgement Enhancement. University of Kiel, Germany, 2024 - 2023
- [c10]Lars Schmarje
, Vasco Grossmann
Label Smarter, Not Harder: CleverLabel for Faster Annotation of Ambiguous Image Classification with Higher Quality. DAGM 2023: 459-475 - [c9]Claudius Zelenka, Andrea Göhring, Daniyal Kazempour, Maximilian Hünemörder
A Simple and Explainable Method for Uncertainty Estimation using Attribute Prototype Networks. ICCV (Workshops) 2023: 4572-4581 - [i13]Lars Schmarje, Vasco Grossmann, Tim Michels, Jakob Nazarenus, Monty Santarossa, Claudius Zelenka, Reinhard Koch
Label Smarter, Not Harder: CleverLabel for Faster Annotation of Ambiguous Image Classification with Higher Quality. CoRR abs/2305.12811 (2023) - [i12]Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Reinhard Koch
Annotating Ambiguous Images: General Annotation Strategy for Image Classification with Real-World Biomedical Validation on Vertebral Fracture Diagnosis. CoRR abs/2306.12189 (2023) - 2022
- [c8]Lars Schmarje
A Data-Centric Approach for Improving Ambiguous Labels with Combined Semi-supervised Classification and Clustering. ECCV (8) 2022: 363-380 - [c7]Lars Schmarje
Opportunistic Hip Fracture Risk Prediction in Men from X-ray: Findings from the Osteoporosis in Men (MrOS) Study. PRIME@MICCAI 2022: 103-114 - [c6]Monty Santarossa
MedRegNet: unsupervised multimodal retinal-image registration with GANs and ranking loss. Image Processing 2022 - [c5]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 - [d7]Lars Schmarje
Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation. Version v0.1. Zenodo, 2022 [all versions] - [d6]Lars Schmarje
Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation. Version v1.0. 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] - [i11]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) - [i10]Vasco Grossmann, Lars Schmarje, Reinhard Koch
Beyond Hard Labels: Investigating data label distributions. CoRR abs/2207.06224 (2022) - [i9]Lars Schmarje, Stefan Reinhold, Timo Damm, Eric Orwoll, Claus C. Glüer, Reinhard Koch:
Opportunistic hip fracture risk prediction in Men from X-ray: Findings from the Osteoporosis in Men (MrOS) Study. CoRR abs/2207.10970 (2022) - 2021
- [j3]Lars Schmarje
A Survey on Semi-, Self- and Unsupervised Learning for Image Classification. IEEE Access 9: 82146-82168 (2021) - [j2]Lars Schmarje
Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy. Sensors 21(19): 6661 (2021) - [c4]Monty Santarossa
Learning Stixel-based Instance Segmentation. IV 2021: 427-434 - [c3]Lars Schmarje, Reinhard Koch:
Life Is Not Black and White - Combining Semi-supervised Learning With Fuzzy Labels. LWDA 2021: 183-190 - [d3]Lars Schmarje
Fuzzy Overclustering. Version 2. Zenodo, 2021 [all versions] - [d2]Lars Schmarje
Fuzzy Overclustering. Version 3. Zenodo, 2021 [all versions] - [i8]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) - [i7]Monty Santarossa, Lukas Schneider, Claudius Zelenka, Lars Schmarje, Reinhard Koch, Uwe Franke:
Learning Stixel-based Instance Segmentation. CoRR abs/2107.03070 (2021) - [i6]Lars Schmarje, Reinhard Koch
Life is not black and white - Combining Semi-Supervised Learning with fuzzy labels. CoRR abs/2110.06592 (2021) - [i5]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]Sören Henning
Complexity and Inapproximability Results for Parallel Task Scheduling and Strip Packing. Theory Comput. Syst. 64(1): 120-140 (2020) - [i4]Lars Schmarje, Monty Santarossa, Simon-Martin Schröder
A survey on Semi-, Self- and Unsupervised Techniques in Image Classification. CoRR abs/2002.08721 (2020) - [i3]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
- 2019
- [c2]Lars Schmarje
2D and 3D Segmentation of Uncertain Local Collagen Fiber Orientations in SHG Microscopy. GCPR 2019: 374-386 - [d1]Lars Schmarje
2D and 3D Segmentation of uncertain local collagen fiber orientations in SHG microscopy. Zenodo, 2019 - [i2]Lars Schmarje
2D and 3D Segmentation of uncertain local collagen fiber orientations in SHG microscopy. CoRR abs/1907.12868 (2019) - 2018
- [c1]Sören Henning, Klaus Jansen, Malin Rau, Lars Schmarje:
Complexity and Inapproximability Results for Parallel Task Scheduling and Strip Packing. CSR 2018: 169-180 - 2017
- [i1]Sören Henning, Klaus Jansen, Malin Rau
Complexity and Inapproximability Results for Parallel Task Scheduling and Strip Packing. CoRR abs/1705.04587 (2017)
Coauthor Index
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last updated on 2024-12-13 20:06 CET by the dblp team
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