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?
Thanks!
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.
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? Thanks!