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View Code? Open in Web Editor NEWLearning a Spatial Activation Function for Efficient Image Restoration
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Dense xUnit Networks
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.
Waiting for the update of training method
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.
Replacing ReLU in xUnit with Mish
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
More comparisons for benchmark sake
There are a lot more Activation Functions out there
- https://www.semanticscholar.org/paper/A-comparative-performance-analysis-of-different-in-Farzad-Mashayekhi/bcfdfe54796c501a90c3b353661a19e9c161d2c8/figure/0
- https://www.semanticscholar.org/paper/Activation-Functions-for-Generalized-Learning-A-Villmann-Ravichandran/04d54996bcbe44b3547da889d7eab8aab3660990/figure/0
- https://www.semanticscholar.org/paper/Comparison-of-new-activation-functions-in-neural-Gomes-Ludermir/9b37079041bdaca4248ab4f62f1a63013a50f067/figure/1
- https://www.semanticscholar.org/paper/Searching-for-Activation-Functions-Ramachandran-Zoph/c8c4ab59ac29973a00df4e5c8df3773a3c59995a/figure/2
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?
Did you implement this activation function on Caffe?
Did you implement this activation function on Caffe? Thanks.
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