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
Thanks for your great contribution. I have read your paper, but have some questions about the experiments in Table 1.
The replacement of the predicted results is only implemented in the inference process rather than training?
How to replace the predicted classification score with its ground truth, In other words, how to assign labels to anchors when replacing? Is it the same way in FCOS, just assign the anchor to the gt box it's in?
The text was updated successfully, but these errors were encountered:
Hi @hyz-xmaster, thanks for your early reply. I have seen your answer. Although I haven't still grasped your code, I can have a shallow understanding that you use the training phase just for getting the corresponding ground truth easily, so setting the overall lr = 0.0 is ok?
Thanks for your great contribution. I have read your paper, but have some questions about the experiments in Table 1.
The replacement of the predicted results is only implemented in the inference process rather than training?
How to replace the predicted classification score with its ground truth, In other words, how to assign labels to anchors when replacing? Is it the same way in FCOS, just assign the anchor to the gt box it's in?
The text was updated successfully, but these errors were encountered: