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A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs.

, , , , , , , , и . CSCS, стр. 3:1-3:8. ACM, (2020)

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Jürgen M Schmidt

Christoph M. Schmidt

Jürgen M Schmidt

Jens M Schmidt

M Schmidt-Ernsthausen

 

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Bootstrapping Perception using Information Theory: Case Studies in a quadruped Robot Running on Different grounds., , , и . Adv. Complex Syst., (2013)Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving., , , , , , , , , и . CVPR Workshops, стр. 1369-1378. Computer Vision Foundation / IEEE, (2020)Continual Unsupervised Domain Adaptation for Semantic Segmentation by Online Frequency Domain Style Transfer., , , , и . ITSC, стр. 2881-2888. IEEE, (2021)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)Validation of Simulation-Based Testing: Bypassing Domain Shift with Label-to-Image Synthesis., , , , , , , , , и 1 other автор(ы). IV Workshops, стр. 182-189. IEEE, (2021)Augmentation-based Domain Generalization for Semantic Segmentation., , , и . IV, стр. 1-8. IEEE, (2023)Self-Supervised Domain Mismatch Estimation for Autonomous Perception., , , , , , и . CVPR Workshops, стр. 1359-1368. Computer Vision Foundation / IEEE, (2020)Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation., , , , и . CoRR, (2023)Learning and Adaptation of Sensorimotor Contingencies: Prism-Adaptation, a Case Study., , , , , и . SAB, том 7426 из Lecture Notes in Computer Science, стр. 341-350. Springer, (2012)Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation., , , , и . WACV, стр. 2818-2828. IEEE, (2024)