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Comments (4)

HonglinChu avatar HonglinChu commented on September 27, 2024

所有的算法都是自己重新配置在同一个环境下跑的, 当时在VOT上SiamAPN, SiamTPN的EAO的值的确比较低,我也不太相信,不过我使用的都是同一套参数, 它们在DTB和GOT上数值就比较高了, 可能是我测试的时候配置参数有问题. 另外我在results里面也提供了所有算法的评估结果. 或者你可以重新跑一个SiamTPN来验证一下;

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Coder-TieHH avatar Coder-TieHH commented on September 27, 2024

顺便再问您一个模型训练的问题，我自己的模型在训练之后，最后一段他的loss都会在0.20.3之间徘徊，还是波动还是挺大的，因为我跟着您的nano track进行训练的时候，发现最后的它都能降到0.1左右，这一点我在另一个issue也跟您说了。您说这个loss和最后的表现没有太大关系，但是我现在怀疑的是会不会说我最后接这一阶段它的波动有点大，它还没有完全收敛。您有什么建议吗？现在我的模型一阶段训练2018 的eao有0.16左右。呃，我在训练您的nanotrack的时候，第一阶段差不多也能是也是一点几。但是第二阶段您的nanotrack，它是能够往上涨挺多的，大概一倍左右。但是我的模型呃就还是第二阶段finetune时候，他还是在这一阶就是0.20.3之间波动，涨点也几乎停滞了，您能给点建议吗😭😭

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HonglinChu avatar HonglinChu commented on September 27, 2024

把每个epoch对应的loss值画出来看看,如果后面稳定了就是正常的.

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Coder-TieHH avatar Coder-TieHH commented on September 27, 2024

好的，我看看，感谢您的建议

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