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Thanks to the authors for their awesome word!
Although the source code is not available yet, I can't wait to attempt at reproducing the modules.
I submit this issue to ask if the LFT module can be…
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https://github.com/IDEA-opensource/DAB-DETR/blob/309f6ad92af7a62d7732c1bdf1e0c7a69a7bdaef/models/DAB_DETR/transformer.py#L446
In this place, the last dim of tgt2 is 2*256, while the tgt's last dim is…
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Hello, thanks for your wonderful work!
I modified a little code to train on my own dataset (the same format as coco) but the cpu load seems a little high (over 50%). But when using [dab-detr](https:…
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https://github.com/IDEA-opensource/DN-DETR/blob/206fa267ba7df978fa968edda9f7dd351a4b72c1/models/DN_DAB_DETR/DABDETR.py#L484
Hi thanks for wonderful repo.
Is there any reason the default num_cls = …
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1. Does DN-DETR only add class label embedding to the content queries (`tgt` in the code) in cross-attention module of first decoder layer as Conditional DETR or DAB-DETR does?
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Hello, thanks for your wonderful work!
When I finish training and get log.txt, I want to visualize it using plot_logs, as follows:
![image](https://user-images.githubusercontent.com/35839437/175…
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Thanks for your great work,
In your pre-trained model DN-DAB-Deformable-DETR-R50-v24, you did not use dilation convolution and two-stage strategy, what I want to know is, if using these two strategie…
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`self.class_embed = nn.Linear(hidden_dim, num_classes) `
`self.bbox_embed = MLP(hidden_dim, hidden_dim, 4, 3) `
`self.num_feature_levels = num_feature_levels `
`self.use_dab = use_da…
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Thanks for your great work. I notice a difference between dab-detr and conditional detr where there is a MLP defined as 'self.query_scale' before each transformer encoder layer. Does this operation ha…