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The Tenth Visual Object Tracking VOT2022 Challenge Results.

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Synthetic Data Generation for End-to-End Thermal Infrared Tracking., , , , и . IEEE Trans. Image Process., 28 (4): 1837-1850 (2019)AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility., , , , , , , , , и . CoRR, (2022)How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?, , и . CoRR, (2023)Dense Gaussian Processes for Few-Shot Segmentation., , , , и . CoRR, (2021)Beyond SOT: It's Time to Track Multiple Generic Objects at Once., , , , , и . CoRR, (2022)AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results., , , , , , , , , и 11 other автор(ы). CoRR, (2019)Accurate 3D Object Detection using Energy-Based Models., , и . CoRR, (2020)Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision., , и . CVPR Workshops, стр. 1289-1298. Computer Vision Foundation / IEEE, (2020)NTIRE 2022 Challenge on Learning the Super-Resolution Space., , , , , , , , , и 3 other автор(ы). CVPR Workshops, стр. 785-796. IEEE, (2022)Probabilistic Regression for Visual Tracking., , и . CVPR, стр. 7181-7190. Computer Vision Foundation / IEEE, (2020)