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View Code? Open in Web Editor NEWLearning a Spatial Activation Function for Efficient Image Restoration
Learning a Spatial Activation Function for Efficient Image Restoration
Did you implement this activation function on Caffe? Thanks.
hello,I'm a junior student .
I am learning image denoising recently. It is very lucky to find this project, it helps me a lot.
I am wondering whether this project will update the training method,hahaha.
Dear Idan, I have already implemented some parts of it by also benefiting from this repository but I would also welcome if you can share codes for Dense xUnit Networks so that I can double-check. There is also a similarity of your module with some versions of the Gather-Excite module, I guess.
Was wondering if there will be an increment in the results posted in the paper of xUnit by simply replacing ReLU with Mish.
Mish - https://github.com/digantamisra98/Mish
There are a lot more Activation Functions out there
And that is if we were to exclude the listing in https://en.wikipedia.org/wiki/Activation_function and https://github.com/digantamisra98/Mish#confidence-interval-profiles
Is it possible for you to re-run the tests?
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