-
Notifications
You must be signed in to change notification settings - Fork 21
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
A question about the implementation of segmentation mask for Deformable Detr #25
Comments
artest08
changed the title
A question about the implemenetation of segmentation mask for Deformable Detr
A question about the implementation of segmentation mask for Deformable Detr
Jun 9, 2022
Additionally, I want to emphasize that, as far as I understand, res2 features are not utilized in the deformable segmentation head, only the res3 features with stride 2. Therefore, the best resolution becomes stride 16 which might lead to deterioration in the expected results, I think. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Hello,
First of all, thank you for your great work.
I want to ask a point in the implementation of input projection before the MaskHeadSmallConv in segmentation.py .
The implementation applies stride 2 to the features which makes the best stride 8. However, for the segmentation tasks, it is possible to get better result when the stride 4 is utilized for the mask creation. The original segmentation head implementation of DETR also utilizes in that way. Therefore, I want to ask that what is the reason for utilizing that stride in your implementation?
Thanks in advance
The text was updated successfully, but these errors were encountered: