c-yn / SFNet

[ICLR 2023] Selective Frequency Network for Image Restoration
MIT License
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Is it correct to test with TLC? #7

Closed FireWallDragonDarkFluid closed 11 months ago

FireWallDragonDarkFluid commented 11 months ago

Hi!

Thanks for sharing the code. I was wondering, it seems that you have conducted experiments and recorded scores base on TLC.

Is that a right thing to do? Since TLC definitely will improve model's performance, in that case, there's no way to identify whether it's TLC that made the network outperform others or it's the method proposed in the paper.

c-yn commented 11 months ago

Hi, thanks for your questions.

We can identify the performance improvement of our method by simply removing TLC during training and testing, i.e., using plain average pooling.