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Repository of Vision Transformer with Deformable Attention (CVPR2022) and DAT++: Spatially Dynamic Vision Transformerwith Deformable Attention

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Hello How are you? Thanks for contributing to this project. When can we expect to get the object detection & segmentation code?

Interested in your paper, how to visualize Figure 5,Figure 6, Figure7?Thanks

Hi,nice work! I'm confusing about visualizing the learned offsets as shown in Fig. 6? Could you give some reference code?

Dear Authors I had way back in May 2021 - already had published a journal article on Deformable Attention https://pubmed.ncbi.nlm.nih.gov/34022421/ It was even published much earlier in MedArxiv in August...

Hi, thanks for your excellent work.But when I use your DAT model and pre trained weights for image segmentation tasks, the effect is not ideal. I do this: take out...

I wanna get the overall important keys like the figure from visualization in the github main page. Which variable should i utilize? Thanks in advance!

Great Work! If the input image size is not 224x224 or 384x384, can I directly use the DAT module, or do I need to make modifications in certain places? If...

msg = model.load_pretrained(checkpoint['model']) Error message missing parameter lookup_22k