Deep visual tracking: Review and experimental comparison

Pattern Recognition, pp. 323-338, 2018.

Cited by: 266|Views83
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Abstract:

•The first comprehensive survey on deep-learning-based trackers.•Review existing deep visual trackers from three different perspectives.•Large-scale benchmark evaluations of deep visual trackers.•Summarize cutting-edge research works and discuss future directions•Provide useful insights and conclusions for deep visual trackers.

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