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Performance of Swin-L #17

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dawn-ech opened this issue Jul 22, 2023 · 11 comments
Closed

Performance of Swin-L #17

dawn-ech opened this issue Jul 22, 2023 · 11 comments

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@dawn-ech
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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.

@TempleX98
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TempleX98 commented Jul 23, 2023

We don't have the result of O365 pretrained Co-DETR+Swin-L

@HITerStudy
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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!

@TempleX98
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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.

@HITerStudy
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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?

@TempleX98
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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

@songyuc
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songyuc commented Aug 4, 2023

Hi, @TempleX98, have the model config and weight of 66.0 boxAP been released?

@TempleX98
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@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.

@songyuc
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songyuc commented Aug 4, 2023

Thanks sincerely.

@TempleX98
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@dawn-ech @songyuc We have provided the O365 pre-trained Swin-L model

@ganliqiang
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ganliqiang commented Aug 29, 2023

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.

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