Web: http://arxiv.org/abs/2208.05810

Sept. 21, 2022, 1:13 a.m. | Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho

cs.CV updates on arXiv.org arxiv.org

Despite the extensive adoption of machine learning on the task of visual
object tracking, recent learning-based approaches have largely overlooked the
fact that visual tracking is a sequence-level task in its nature; they rely
heavily on frame-level training, which inevitably induces inconsistency between
training and testing in terms of both data distributions and task objectives.
This work introduces a sequence-level training strategy for visual tracking
based on reinforcement learning and discusses how a sequence-level design of
data sampling, learning objectives, …

arxiv tracking training

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