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Adaptive Bitrate Quantization Scheme Without Codebook for Learned Image Compression.

, , , and . CVPR Workshops, page 1731-1736. IEEE, (2022)

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GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation., , , , , and . CoRR, (2019)An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving., , , , , , , and . IV, page 644-651. IEEE, (2021)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)The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing., , , , , , and . IEEE Signal Process. Mag., 38 (1): 42-52 (2021)Performance Prediction for Semantic Segmentation by a Self-Supervised Image Reconstruction Decoder., , , , , and . CVPR Workshops, page 4398-4407. IEEE, (2022)Scalar and Vector Quantization for Learned Image Compression: A Study on the Effects of MSE and GAN Loss in Various Spaces., , , and . ITSC, page 1-8. IEEE, (2020)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)Joint Prediction of Amodal and Visible Semantic Segmentation for Automated Driving., , and . ECCV Workshops (1), volume 13801 of Lecture Notes in Computer Science, page 633-645. Springer, (2022)Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety., , , , , , , , , and 31 other author(s). CoRR, (2021)