Target-Aware State Estimation for Visual Tracking

IEEE Transactions on Circuits and Systems for Video Technology(2022)

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摘要
Trackers based on the IoU prediction network (IoU-Net) have shown superior performance, which refines a coarse bounding box to an accurate one by maximizing the IoU between the target and the coarse box. However, the traditional IoU-Net is less effective in exploiting the limited but crucial supervision information contained in the initial frame, including the discriminative information between th...
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关键词
Target tracking,State estimation,Task analysis,Visualization,Training,Robustness,Predictive models
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