Riedlinger, Tobias

1. Identifying Label Errors in Object Detection Datasets by Loss Inspection
   2023/03/13 by Schubert, Marius, Riedlinger, Tobias, Kahl, Karsten +4 · 6 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
2. Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors
   2021/07/09 by Tobias Riedlinger, Matthias Rottmann, Riedlinger, Tobias +5 · 2 citations
   Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
3. Pixel-wise Gradient Uncertainty for Convolutional Neural Networks applied to Out-of-Distribution Segmentation
   2023/03/13 by Kira Maag, Tobias Riedlinger, Maag, Kira +1 · 2 citations
   Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI)
4. LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds
   2023/06/13 by Riedlinger, Tobias, Schubert, Marius, Penquitt, Sarina +7 · 2 citations
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
5. Towards Rapid Prototyping and Comparability in Active Learning for Deep Object Detection
   2022/12/21 by Riedlinger, Tobias, Schubert, Marius, Kahl, Karsten +2 · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. Deep Active Learning with Noisy Oracle in Object Detection
   2023/09/30 by Marius Schubert, Tobias Riedlinger, Schubert, Marius +5 · 1 citation
   Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification