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.

Sign up for GitHub

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

Jump to bottom

configs in paper : Position Sensitive RoI pooling #78

Open

mmoghadam11 opened this issue Jul 31, 2021 · 1 comment

mmoghadam11 commented Jul 31, 2021

hi and tnx for your implemention
in your paper : https://openaccess.thecvf.com/content_CVPR_2019/html/Ding_Learning_RoI_Transformer_for_Oriented_Object_Detection_in_Aerial_Images_CVPR_2019_paper.html
the paper said about configs like Light-Head R-CNN OBB, deformable Position Sensitive RoI pooling and RoI Transformer
where can i find the config of deformable Position Sensitive RoI pooling???

Owner

dingjiansw101 commented Aug 17, 2021

In this pytorch repo, we only implement the rotated position sensitive roi align in https://github.com/dingjiansw101/AerialDetection/tree/master/mmdet/ops/psroi_align_rotated
For the full light-head R-CNN OBB with rotated position sensitive roi align, you can refer to our MxNet repo https://github.com/dingjiansw101/RoITransformer_DOTA

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment