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On Low-Bitrate Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation.

, , , , , and . IV, page 424-431. IEEE, (2019)

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Application of Decision Rules for Handling Class Imbalance in Semantic Segmentation., , , , and . CoRR, (2019)Strategy to Increase the Safety of a DNN-based Perception for HAD Systems., , and . CoRR, (2020)Tailored Uncertainty Estimation for Deep Learning Systems., , , , , , and . CoRR, (2022)From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation., , , , , , and . CoRR, (2020)Focussing Learned Image Compression to Semantic Classes for V2X Applications., , , , , and . IV, page 1641-1648. IEEE, (2020)A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs., , , , , , , , and . CSCS, page 3:1-3:8. ACM, (2020)Unsupervised Domain Adaptation to Improve Image Segmentation Quality Both in the Source and Target Domain., , , , , , , and . CVPR Workshops, page 1404-1413. Computer Vision Foundation / IEEE, (2019)Making the Relationship between Uncertainty Estimation and Safety Less Uncertain., and . DATE, page 1139-1144. IEEE, (2020)Traffic Sign Classifiers Under Physical World Realistic Sticker Occlusions: A Cross Analysis Study., , , , , , and . IV, page 644-650. IEEE, (2022)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)