Lars Schmarje

According to our database, Lars Schmarje authored at least 25 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Addressing the Challenge of Ambiguous Data in Deep Learning: A Strategy for Creating High-quality Image Annotations with Human Reliability and Judgement Enhancement.

Lars Schmarje

PhD thesis, 2024

2023

Annotating Ambiguous Images: General Annotation Strategy for Image Classification with Real-World Biomedical Validation on Vertebral Fracture Diagnosis.

Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Reinhard Koch

CoRR, 2023

A Simple and Explainable Method for Uncertainty Estimation using Attribute Prototype Networks.

Claudius Zelenka, Andrea Göhring, Daniyal Kazempour, Maximilian Hünemörder, Lars Schmarje, Peer Kröger

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Label Smarter, Not Harder: CleverLabel for Faster Annotation of Ambiguous Image Classification with Higher Quality.

Lars Schmarje, Vasco Grossmann, Tim Michels, Jakob Nazarenus, Monty Santarossa, Claudius Zelenka, Reinhard Koch

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022

Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation.

Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch

Dataset, October, 2022

Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation.

Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch

Dataset, October, 2022

Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation.

Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch

Dataset, October, 2022

Datasets for a data-centric image classification benchmark for noisy and ambiguous label estimation.

Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch

Dataset, October, 2022

Beyond Hard Labels: Investigating data label distributions.

Vasco Grossmann, Lars Schmarje, Reinhard Koch

CoRR, 2022

Is one annotation enough? - A data-centric image classification benchmark for noisy and ambiguous label estimation.

Lars Schmarje, Vasco Grossmann, Claudius Zelenka, Sabine Dippel, Rainer Kiko, Mariusz Oszust, Matti Pastell, Jenny Stracke, Anna Valros, Nina Volkmann, Reinhard Koch

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MedRegNet: unsupervised multimodal retinal-image registration with GANs and ranking loss.

Monty Santarossa, Ayse Kilic, Claus von der Burchard, Lars Schmarje, Claudius Zelenka, Stefan Reinhold, Reinhard Koch, Johann Roider

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Opportunistic Hip Fracture Risk Prediction in Men from X-ray: Findings from the Osteoporosis in Men (MrOS) Study.

Lars Schmarje, Stefan Reinhold, Timo Damm, Eric Orwoll, Claus C. Glüer, Reinhard Koch

Proceedings of the Predictive Intelligence in Medicine - 5th International Workshop, 2022

A Data-Centric Approach for Improving Ambiguous Labels with Combined Semi-supervised Classification and Clustering.

Lars Schmarje, Monty Santarossa, Simon-Martin Schröder, Claudius Zelenka, Rainer Kiko, Jenny Stracke, Nina Volkmann, Reinhard Koch

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Fuzzy Overclustering.

Lars Schmarje, Johannes Brünger, Monty Santarossa, Simon-Martin Schröder, Rainer Kiko, Reinhard Koch

Dataset, October, 2021

Fuzzy Overclustering.

Lars Schmarje, Johannes Brünger, Monty Santarossa, Simon-Martin Schröder, Rainer Kiko, Reinhard Koch

Dataset, October, 2021

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

Lars Schmarje, Johannes Brünger, Monty Santarossa, Simon-Martin Schröder, Rainer Kiko, Reinhard Koch

Sensors, 2021

S2C2 - An orthogonal method for Semi-Supervised Learning on fuzzy labels.

Lars Schmarje, Monty Santarossa, Simon-Martin Schröder, Claudius Zelenka, Rainer Kiko, Jenny Stracke, Nina Volkmann, Reinhard Koch

CoRR, 2021

A Survey on Semi-, Self- and Unsupervised Learning for Image Classification.

Lars Schmarje, Monty Santarossa, Simon-Martin Schröder, Reinhard Koch

IEEE Access, 2021

Life Is Not Black and White - Combining Semi-supervised Learning With Fuzzy Labels.

Lars Schmarje, Reinhard Koch

Proceedings of the LWDA 2021 Workshops: FGWM, 2021

Learning Stixel-based Instance Segmentation.

Monty Santarossa, Lukas Schneider, Claudius Zelenka, Lars Schmarje, Reinhard Koch, Uwe Franke

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

2020

Complexity and Inapproximability Results for Parallel Task Scheduling and Strip Packing.

Sören Henning, Klaus Jansen, Malin Rau, Lars Schmarje

Theory Comput. Syst., 2020

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

Lars Schmarje, Johannes Brünger, Monty Santarossa, Simon-Martin Schröder, Rainer Kiko, Reinhard Koch

CoRR, 2020

A survey on Semi-, Self- and Unsupervised Techniques in Image Classification.

Lars Schmarje, Monty Santarossa, Simon-Martin Schröder, Reinhard Koch

CoRR, 2020

2019

2D and 3D Segmentation of uncertain local collagen fiber orientations in SHG microscopy.

Lars Schmarje, Claudius Zelenka, Ulf Geisen, Claus C. Glüer, Reinhard Koch

Dataset, July, 2019

2D and 3D Segmentation of Uncertain Local Collagen Fiber Orientations in SHG Microscopy.

Lars Schmarje, Claudius Zelenka, Ulf Geisen, Claus C. Glüer, Reinhard Koch

Proceedings of the Pattern Recognition, 2019