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[ICCV2023] This is an official implementation for "Scale-Aware Modulation Meet Transformer".

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I am working on implementing the SMT for semantic segmentation with the ACDC dataset. While trying to configure and use the repository, I noticed that one of the configuration files...

Thank you for your sharing! when I followed the instruction to try this project and evalution on ImageNet -1k, It showed this error: **ImportError: cannot import name 'TorchDispatchMode' from 'torch.utils._python_dispatch'**,...

![1711608664223](https://github.com/AFeng-x/SMT/assets/138180177/97af5155-4d0d-4a7e-875f-666d6cc9e424) 这个ckpt.pth找不到 麻烦可以提供一下吗 谢谢

Thanks for your team's efforts. Could you please share this weight file? ![image](https://github.com/AFeng-x/SMT/assets/91183836/1239dc9c-f8ae-48cf-b1b8-61f1ca626e95)

作者你好,非常感谢你们的工作,但是我没有找到如何可以进行语义分割训练的文件

Your work is so great, thank you for your contribution to science, but I am having problems reproducing it:TypeError: RetinaNet: init_weights() got an unexpected keyword argument 'pretrained' , may I...

Now the biggest model is smt_large, Can you design a bigger model like smt_huge? Thank you very much!

Thank you for your sharing, may I ask how the figure 4 in the paper is drawn? Can you provide the code?

Hi author, your code is great, but when I introduce your SMT module for training I always have a case of not enough memory in the attn = (q @...

Hi there! This is a nice work. But I have a little query about the motivation of the architecture design. In the paper "Based on the research conducted in [11,...