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Thanks for the great contribution to the literature.
I have a quick question. Is there a specific reason for not using pattern embedding in dab-deformable-detr? Is pattern embedding not applicable…
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I visualized some images using DAB_DETR resnet50 pretrained model:
so as for the score trending be lower, if a threshold set too low, will have many false postives, if set to high, easi…
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Thank you for your excellent work,
What I want to know is have you used the two-stage strategy when training DAB-Deformable-DETR? For DAB-Deformable-DETR, does it give a performance boost?
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The original code is :
https://github.com/IDEA-opensource/DAB-DETR/blob/309f6ad92af7a62d7732c1bdf1e0c7a69a7bdaef/models/dab_deformable_detr/deformable_transformer.py#L390
https://github.com/IDEA-…
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Thanks for your work!
It seems that the 'look forward twice' strategy mentioned in DINO has been implemented in DAB DETR, even in Deformable DETR.
Because I notice that the iterative regression o…
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i've tried to train dab-deformable-detr with multi-gpus in one ubuntu server by using 'torch.nn.Parallel', but a runtime error raised which is "Expected tensor for augment #1 'input' to have the same…
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First of all, thank you very much for the great work.
My question is..
1. NotImplementError is raised when executing "self.detr.input_proj(src)" in code in DETRsegm class.
2. "self.detr.trans…
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Hi there,
I notice your team since DAB-DETR. Your work leaves me great impression. However, I have a question about the small batch size. Why do you use such a small batch size? Do you run an exper…
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Thanks for your great work.
After testing the code, how can I print the image results with bounding box?
Is there any command or code?
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### Sorry to bother you! During training, I had a problem.
### Training parameters:
```
batch_size = 1,
epochs = 50,
lr_drop = 40,
modelname = 'dab_detr',
num_workers = 6,
```
### Dataset(ti…