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ZhenZHAO avatar ZhenZHAO commented on September 27, 2024

幅度大吗?合理的震荡其实就是我们想要的,

  • 第一因为有threshold,这样unsupervised consistency loss会不断有新样本进来,contribute to the loss.
  • 第二,因为有这两种augmentation。极限的想,如果没有aug会怎么样呢?会很快converge。这也是所有的半监督(不论分类分割检测)研究中,strong augmentation起作用的方式。这样就不停地产生 prediction disagreement. 要是prediction快速收敛掉,那模型也就学不到什么了。纯个人理解

from augseg.

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