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作者你好,我在我的数据集上运行了你的代码,实验结果很不错。但我有一个问题,就是在cut_mix_label_adaptive函数中,为什么要用到两次cutmix?这个本质不就是将一个更小的labeled区域转移到unlabeled吗?感觉用一次cutmix就行了。有点不太理解,希望作者解答一下,感谢!
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您好。这份工作其实就一个观点,增大随机性来产生prediction disagreement。 参考这个,#18 , 这么玩也是为了增大随机性,在citys上这样做会更好。当然了,也是为了弱化labeled数据的影响,因为训练的时候已经在过采样labeled数据了。Hope it helps.
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作者你好,我在我的数据集上运行了你的代码,实验结果很不错。但我有一个问题,就是在cut_mix_label_adaptive函数中,为什么要用到两次cutmix?这个本质不就是将一个更小的labeled区域转移到unlabeled吗?感觉用一次cutmix就行了。有点不太理解,希望作者解答一下,感谢!
The text was updated successfully, but these errors were encountered: