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
Hello, thank for sharing the great work.
I find some inconsistent results in Table 3. Why the reported results of the CAG-UDA model in two mIoU metrics (13- and 16-class subsets) are different? Previous SOTA methods, like AdvEnt, report the results on the 13-class subset based on that of 16-class subset. Could you please explain it?
from [arxiv](https://arxiv.org/abs/1910.13049)
The text was updated successfully, but these errors were encountered:
Hi,
Thanks for your interest. 'IoU' means intersection over the union. When the class number decreases from 16 to 13, the redundant 3 classes should be ignored, leading to the denominator decrease during computing IoU. Thus the reported results on each class are inconsistent.
Hello, thank for sharing the great work.
I have a puzzled question for you. Is syhthia's warmup stage training conducted in 19 categories? Are 19 categories still used in the next three stages?
PS: can you share the model weight of Synthia dataset that you work in CAG? Thank you very much.
Hello, thank for sharing the great work.
I find some inconsistent results in Table 3. Why the reported results of the CAG-UDA model in two mIoU metrics (13- and 16-class subsets) are different? Previous SOTA methods, like AdvEnt, report the results on the 13-class subset based on that of 16-class subset. Could you please explain it?
from [arxiv](https://arxiv.org/abs/1910.13049)
The text was updated successfully, but these errors were encountered: