zyxu1996

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It would definitely work since it adopts a similar structure with seblock. The main key is the multiple loss functions. As for the SAblock, I don't think it is convincing.

We ref the paper: ResT: An Efficient Transformer for Visual Recognition. Efficient_T is compose of resT backbone and mlphead, you can set up the autorun.sh like ‘--models resT --head mlphead’

You should use lr=0.0003, bs=16, img_size=512

> When I train the DANet model, the results are shown in the figure, and the results do not reach the results in Table 10 of your paper. ![1](https://user-images.githubusercontent.com/92514953/241550198-ddd033f1-ef35-42c2-919b-46f23b1f26a9.png) BatchSize...

> Hi, your test code is a multi-GPU test, but I'm using a single GPU for training, how can I change the test code? I ask you to help me....