61 citations
- Universität KoblenzDE20 papers
- University of BonnDE5 papers
- Chemnitz University of TechnologyDE4 papers
- GESIS - Leibniz Institute for the Social SciencesDE4 papers
- Fraunhofer Institute for Applied Information TechnologyDE2 papers
- Graz University of TechnologyAT2 papers
- Hanoi University of Science and TechnologyVN2 papers
- RWTH Aachen UniversityDE2 papers
- Technical University of MunichDE2 papers
- Technische Universität IlmenauDE2 papers
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8 papers · 1 filter
Backdoor attacks on DNN and GBDT -- A Case Study from the insurance domain
Robin Kühlem, Daniel Otten, Daniel Ludwig +3
Machine learning (ML) will likely play a large role in many processes in the future, also for insurance companies. However, ML models are at risk of being attacked and manipulated.…
Chaos in opinion-driven disease dynamics
Thomas Götz, Tyll Krüger, Karol Niedzielewski +3
During the COVID-19 pandemic, it became evident that the effectiveness of applying intervention measures is significantly influenced by societal acceptance, which, in turn, is affe…
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios
Nick Theisen, Robin Bartsch, Dietrich Paulus +1
Semantic segmentation is an essential step for many vision applications in order to understand a scene and the objects within. Recent progress in hyperspectral imaging technology e…
FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification
Markus Weißflog, Peter Protzel, Peer Neubert
Class-incremental continual learning is an important area of research, as static deep learning methods fail to adapt to changing tasks and data distributions. In previous works, pr…
Towards Revisiting Visual Place Recognition for Joining Submaps in Multimap SLAM
Markus Weißflog, Stefan Schubert, Peter Protzel +1
Visual SLAM is a key technology for many autonomous systems. However, tracking loss can lead to the creation of disjoint submaps in multimap SLAM systems like ORB-SLAM3. Because of…
Local positional graphs and attentive local features for a data and runtime-efficient hierarchical place recognition pipeline
Fangming Yuan, Stefan Schubert, Peter Protzel +1
Large-scale applications of Visual Place Recognition (VPR) require computationally efficient approaches. Further, a well-balanced combination of data-based and training-free approa…