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The Sixth Visual Object Tracking VOT2018 Challenge Results.

, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and . ECCV Workshops (1), volume 11129 of Lecture Notes in Computer Science, page 3-53. Springer, (2018)

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On the Optimization of Advanced DCF-Trackers., , , , and . ECCV Workshops (1), volume 11129 of Lecture Notes in Computer Science, page 54-69. Springer, (2018)Deep motion and appearance cues for visual tracking., , , , and . Pattern Recognit. Lett., (2019)Combining Local and Global Models for Robust Re-detection., , , and . AVSS, page 1-6. IEEE, (2018)The Sixth Visual Object Tracking VOT2018 Challenge Results., , , , , , , , , and 145 other author(s). ECCV Workshops (1), volume 11129 of Lecture Notes in Computer Science, page 3-53. Springer, (2018)NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results., , and . CVPR Workshops, page 613-626. Computer Vision Foundation / IEEE, (2021)ATOM: Accurate Tracking by Overlap Maximization., , , and . CVPR, page 4660-4669. Computer Vision Foundation / IEEE, (2019)DCTD: Deep Conditional Target Densities for Accurate Regression., , , and . CoRR, (2019)Deep Burst Super-Resolution., , , and . CVPR, page 9209-9218. Computer Vision Foundation / IEEE, (2021)Transforming Model Prediction for Tracking., , , , , , and . CVPR, page 8721-8730. IEEE, (2022)Know Your Surroundings: Exploiting Scene Information for Object Tracking., , , and . ECCV (23), volume 12368 of Lecture Notes in Computer Science, page 205-221. Springer, (2020)