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model performance

Open wwjwy opened this issue 3 years ago • 1 comments

Hi,I have a confusion hope can be helped, In semi-supervised segmentation, why the performance improvement always becomes smaller as the amount of labeled data increases? ~YDFZQ7)L~JM2M_K T~VC Thanks!

wwjwy avatar May 05 '22 13:05 wwjwy

It is easy to understand, the amount of labeled data increases, the model already achieves good results using the labeled data, and the unlabeled data is less, so the improvement will be much lower.

upupming avatar Jun 11 '22 11:06 upupming