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Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts.

, , , , , , and . CoRR, (2022)

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DARTH: Holistic Test-time Adaptation for Multiple Object Tracking., , and . ICCV, page 9683-9693. IEEE, (2023)A General Framework for Uncertainty Estimation in Deep Learning., , and . CoRR, (2019)COOLer: Class-Incremental Learning for Appearance-Based Multiple Object Tracking., , and . DAGM, volume 14264 of Lecture Notes in Computer Science, page 443-458. Springer, (2023)SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation., , , , , , , and . CVPR, page 21339-21350. IEEE, (2022)UniDepth: Universal Monocular Metric Depth Estimation., , , , , , and . CoRR, (2024)On the Practicality of Deterministic Epistemic Uncertainty., , , , , and . CoRR, (2021)On the Practicality of Deterministic Epistemic Uncertainty., , , , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 17870-17909. PMLR, (2022)Towards Robust Object Detection Invariant to Real-World Domain Shifts., , , , , , and . ICLR, OpenReview.net, (2023)A General Framework for Uncertainty Estimation in Deep Learning., , and . IEEE Robotics Autom. Lett., 5 (2): 3153-3160 (2020)Batch normalization embeddings for deep domain generalization., , and . Pattern Recognit., (2023)