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Unsupervised Learning of Accurate Siamese Tracking

This is the official repo of "Unsupervised Learning of Accurate Siamese Tracking"

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ulast's Issues

some questions about cycle training in your paper

It is written in 3.5. Online tracking that a memory queue of length Nl(=6) stored with historical search features and region masks is maintained, including features of initial frame and Nl−1(=5) historical samples of the highest score. Besides, the hidden template Ht is updated every Ns(=10) frames with the highest score in this short interval.

But in 4.1. Implementation details ,it is written just one reliable template frame and three search region frames with large temporal gaps are sampled from a video for cycle training.

So why Nl = 6 and Ns =10 ?Aren't they only valid in these three search frames of cycle training? And I also didn't find that how to get these three frames from a video. Maybe three is just an example ? In other words, many three frames are taken from a video ?

Thank you very much for your answer !

About codes

Hello, I am very interested in your code, and its performance is very strong, I hope you can upload the codes as soon as possible,thanks

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