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

, , , , , и . IV, стр. 424-431. IEEE, (2019)

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Andreas Bär

Nicolaus Andreas Bär

Susanne Bär

Elektrophysiologische Eigenschaften von primären Afferenzen und Wirkungen des Neuropeptids Calcitonin Gene-Related Peptide im Halbschädelpräparat der Ratte. Uni Gießen, (2009)

Ernst Bär

Hans Bär

 

Другие публикации лиц с тем же именем

On Low-Bitrate Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation., , , , , и . IV, стр. 424-431. IEEE, (2019)The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing., , , , , , и . IEEE Signal Process. Mag., 38 (1): 42-52 (2021)Detection of Collective Anomalies in Images for Automated Driving Using an Earth Mover's Deviation (EMDEV) Measure., , , и . IV Workshops, стр. 90-97. IEEE, (2021)Performance Prediction for Semantic Segmentation by a Self-Supervised Image Reconstruction Decoder., , , , , и . CVPR Workshops, стр. 4398-4407. IEEE, (2022)Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving., , , , , , , , , и . CVPR Workshops, стр. 1369-1378. Computer Vision Foundation / IEEE, (2020)From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation., , , , , , и . IJCNN, стр. 1-8. IEEE, (2021)GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation., , , , , и . CoRR, (2019)Transferable Universal Adversarial Perturbations Using Generative Models., , , и . CoRR, (2020)A Novel Benchmark for Refinement of Noisy Localization Labels in Autolabeled Datasets for Object Detection., , , , и . CVPR Workshops, стр. 3851-3860. IEEE, (2023)On the Robustness of Redundant Teacher-Student Frameworks for Semantic Segmentation., , , и . CVPR Workshops, стр. 1380-1388. Computer Vision Foundation / IEEE, (2019)