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Discriminative Online Learning for Fast Video Object Segmentation., , , , and . CoRR, (2019)Learning Representations for Segmentation and Registration.. Linköping University, Sweden, (2021)base-search.net (ftlinkoepinguniv:oai:DiVA.org:liu-176054).The Eighth Visual Object Tracking VOT2020 Challenge Results., , , , , , , , , and 98 other author(s). ECCV Workshops (5), volume 12539 of Lecture Notes in Computer Science, page 547-601. Springer, (2020)The Tenth Visual Object Tracking VOT2022 Challenge Results., , , , , , , , , and 146 other author(s). ECCV Workshops (8), volume 13808 of Lecture Notes in Computer Science, page 431-460. Springer, (2022)Assessing Losses for Point Set Registration., , and . IEEE Robotics Autom. Lett., 5 (2): 3360-3367 (2020)Self-supervised learning of object pose estimation using keypoint prediction., , and . CoRR, (2023)Registration Loss Learning for Deep Probabilistic Point Set Registration., and . 3DV, page 563-572. IEEE, (2020)Learning Fast and Robust Target Models for Video Object Segmentation., , , , and . CVPR, page 7404-7413. Computer Vision Foundation / IEEE, (2020)Learning What to Learn for Video Object Segmentation., , , , , , and . ECCV (2), volume 12347 of Lecture Notes in Computer Science, page 777-794. Springer, (2020)The Ninth Visual Object Tracking VOT2021 Challenge Results., , , , , , , , , and 122 other author(s). ICCVW, page 2711-2738. IEEE, (2021)