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About pretrained models
Hi, kalviny. Thank you very much for this repo!
Would you share the pretrained 4-scale MSDNet w.o./w GE/IMTA on Imagenet? Training on imagenet takes a long time.
In the paper, you mention t ∈ {4, 6, 7} is the step for each network block. But it seems that you only use t=4. May I ask the performance of t=6/7?
Why is the input saved in the GradientRescaleFunction?
At the forward method on the GradientRescaleFunction, the input tensor is saved to be used in the backward function:
and at the backward function, the saved input is retrieved:
however, it is never used in the backward function. So is there any reason for saving the input in the first place?
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