Learning Reinforced Attentional Representation for End-to-End Visual Tracking

27 Aug 2019Peng GaoQiquan ZhangFei WangLiyi XiaoHamido FujitaYan Zhang

Although numerous recent tracking approaches have made tremendous advances in the last decade, achieving high-performance visual tracking remains a challenge. In this paper, we propose an end-to-end network model to learn reinforced attentional representation for accurate target object discrimination and localization... (read more)

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