If the test-dataset also have some noise data, do you think it is hard to get the real performance?
guotong1988 opened this issue · 2 comments
guotong1988 commented
This question is based on https://github.com/ZJU-DAILY/SGDL/issues/3.
Thank you very much!
CharlieHu99 commented
If test set is also noisy, its data distribution is consistent with the training set, which is not our major concern. It can be solved by other normal machine learning solutions. We are happy to answer questions related to our paper. Thanks!
guotong1988 commented
Thank you again!