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First, the amount of video in VID is very large(~1 million images, and more than 4,000 videos). This number is far exceeding all the tracking datasets.
CenterLoss was inherited from SiamFC directly to visualize the convergence conditions.
But I find it's too slow and provides no additional information. So I decide to remove this loss.
CenterLoss is only used to visualize the convergence (Like Top1/5 in image classification). This loss is non-differentiable( just think top1 loss. Only cross entropy can bp).
Hi,
Thank you for great job.
I have few questions:
the current one is defined to VID2015, why?
Thank you
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