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Ulrich, Markus

  1. MVTec D2S: Densely Segmented Supermarket Dataset
    2018/04/23 by Follmann, Patrick, Böttger, Tobias, Härtinger, Philipp +2 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  2. U-CE: Uncertainty-aware Cross-Entropy for Semantic Segmentation
    2023/07/19 by Steven Landgraf, Landgraf, Steven, Markus Hillemann +5 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  3. Uncertainty Quantification with Deep Ensembles for 6D Object Pose Estimation
    2024/03/12 by Kira Wursthorn, Markus Hillemann, Wursthorn, Kira +3 · 3 citations
    Computer Science · #Advanced Vision and Imaging #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image and Object Detection Techniques
  4. A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation
    2025/01/14 by Steven Landgraf, Rongjun Qin, Landgraf, Steven +3 · 3 citations
    Computer Science · Engineering · #Advanced Measurement and Metrology Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Manufacturing Process and Optimization #Optical measurement and interference techniques
  5. Decoupling of neural network calibration measures
    2024/06/04 by Dominik Werner Wolf, Prasannavenkatesh Balaji, Wolf, Dominik Werner +5 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Sensor Technology and Measurement Systems