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View Code? Open in Web Editor NEWAdaptive FNO transformer - official Pytorch implementation
Home Page: https://arxiv.org/abs/2111.13587
License: Other
Adaptive FNO transformer - official Pytorch implementation
Home Page: https://arxiv.org/abs/2111.13587
License: Other
Hi, first of all thanks for a very interesting paper.
Could you clarify in more details the results in table 6. AFNO [Non-Adaptive Weights]
?
What you mean by Adaptive weights
? No MLP? I can see in this repo exist a BFNO module was it used in this experiment?
@jtguibas, @MortezaMardani
Dear All,
I have already applied FNO for a case study related to the Darcy equation using the data generated by myself (input of 30 & 30 ----> output of 30 & 30. Now, I am supposed to enhance its performance. Do you think the use of AFNO is sensible in this sense?
Thanks so much.
There seems to be no code for experimenting with Cityscapes segmentation and Few-shot segmentation.
Can you release the code for the two experiments?
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