-
Notifications
You must be signed in to change notification settings - Fork 115
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
Performance of Swin-L #17
Comments
We don't have the result of O365 pretrained Co-DETR+Swin-L |
The training pipeline for the 66.0% AP of Co-Dino(ViT-L) is same as that in this respository? such as image resolution and multi-scale range in data augmentation? Please offer some details, thanks! |
It's the same model as the released part. The image resolution for pretraining is [480, 1024]x1280. We will update the results and model details in the arxiv version soon. |
the pretraining dataset is obj365, it is the v1 version or obj365v2? |
v2 |
Hi, @TempleX98, have the model config and weight of 66.0 boxAP been released? |
@songyuc Sorry, we have no plan to release the ViT-L model now. But we may release another O365 pretrained model in a few weeks. |
Thanks sincerely. |
hi ,i cannot find the pretrain model swin_large_patch4_window12_384_22k.pth so,the leatest model co_dino_5scale_swin_large_16e_o365tococo.pth is same as the pretrained model in the config file.is it right ?how i download the swin_large_patch4_window12_384_22k.pth.thanks a lot in advanced. |
Hi @TempleX98, thanks for your awesome work.
Co-DINO with ViT-L achieves 66.0%AP. I would like to know the performance of Co-DINO with Swin-L. Thank you.
The text was updated successfully, but these errors were encountered: