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Traffic Sign Classifiers Under Physical World Realistic Sticker Occlusions: A Cross Analysis Study., , , , , , and . IV, page 644-650. IEEE, (2022)Robust Semantic Segmentation by Redundant Networks With a Layer-Specific Loss Contribution and Majority Vote., , , , , and . CVPR Workshops, page 1348-1358. Computer Vision Foundation / IEEE, (2020)The Ethical Dilemma When (Not) Setting up Cost-Based Decision Rules in Semantic Segmentation., , , , , and . CVPR Workshops, page 1395-1403. Computer Vision Foundation / IEEE, (2019)Controlled False Negative Reduction of Minority Classes in Semantic Segmentation., , , , and . IJCNN, page 1-8. IEEE, (2020)Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities., , , , , , and . IJCNN, page 1-9. IEEE, (2020)Towards Map-Based Validation of Semantic Segmentation Masks., , , , and . CoRR, (2020)Risk Assessment for Machine Learning Models., , , , , , , and . CoRR, (2020)On the Robustness of Redundant Teacher-Student Frameworks for Semantic Segmentation., , , and . CVPR Workshops, page 1380-1388. Computer Vision Foundation / IEEE, (2019)The Attack Generator: A Systematic Approach Towards Constructing Adversarial Attacks., , , , , , and . CVPR Workshops, page 1370-1379. Computer Vision Foundation / IEEE, (2019)Using Mixture of Expert Models to Gain Insights into Semantic Segmentation., , , , , , and . CVPR Workshops, page 1399-1406. Computer Vision Foundation / IEEE, (2020)