You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I encountered a significant performance variance while training DAFormer with MIC. The lowest performance reached was only 64.57, which is far below the reported 70.6 in the paper. However, I can consistently reproduce the results of DAFormer. I believe this might be attributed to the inherent uncertainty of MIC. Have you considered employing a deterministic algorithm to mitigate such severe performance fluctuations?
Best regards,
The text was updated successfully, but these errors were encountered:
Dear Lucas,
I encountered a significant performance variance while training DAFormer with MIC. The lowest performance reached was only 64.57, which is far below the reported 70.6 in the paper. However, I can consistently reproduce the results of DAFormer. I believe this might be attributed to the inherent uncertainty of MIC. Have you considered employing a deterministic algorithm to mitigate such severe performance fluctuations?
Best regards,
The text was updated successfully, but these errors were encountered: