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This conditioning may be thought of as a selection process, where the unselected samples of g1 and g2 have a multivariate normal distribution with null mean and covariance matrix, while in the selected samples, selection based on g2 results in its mean still being null but its covariance matrix changing to.
However, MILTrack doe not take the negative samples selection into account, which degrades its performance.
If, the solution is one of the input samples (selection type filter).
This samples selection mechanism often relies excessively on classification confidence map produced by the strong classifier in (4), which can be seen as a drawback of the method.
In this article, we propose a robust online tracking algorithm with adaptive samples selection based on saliency detection to overcome the drift problem.
Since all of the trackers and our approach involve randomness in either features extracting process or samples selection process, we run them five times and obtain the average results for each video.
Similar(44)
Let denote the selected samples, where for the sample selection scheme in [27].
Sample selection is inevitably an issue, as respondents often come from civil society organisations already working with UN agencies.
Klein's Procrustean bed is sample selection bias at its worst.
(A sample selection is here).
Sample selection bias?
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