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An Informative Tracking Benchmark
[article]
2021
arXiv
pre-print
Along with the rapid progress of visual tracking, existing benchmarks become less informative due to redundancy of samples and weak discrimination between current trackers, making evaluations on all datasets extremely time-consuming. Thus, a small and informative benchmark, which covers all typical challenging scenarios to facilitate assessing the tracker performance, is of great interest. In this work, we develop a principled way to construct a small and informative tracking benchmark (ITB)
arXiv:2112.06467v1
fatcat:tyu6ahfcmfg27dbd4qfovw5x2i