yakouyang / multilevel_wavelet_decomposition_network_pytorch Goto Github PK
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License: Apache License 2.0
This project is the pytorch implementation version of Multilevel Wavelet Decomposition Network.
License: Apache License 2.0
output的shape是(32,12,1),为什么要取(32,-1,1)这个作为预测结果啊? 剩下的就没用了?
请问你你执行程序以后生成的h1,h2,l2,有规律吗?和小波分解出来的结果相近吗?原作者的结果好像高频低频分量很清楚。
Hello, DB4 orthogonal filter, after parameter optimization, the filter coefficient is not orthogonal, is it DB4 orthogonal filter after parameter optimization?
Hello, thank you for sharing this beautiful work. I have also implemented the RCF framework in this paper except for the part where the discrete wavelet filter coefficients are trained. Do you have that in your implementation?
I would like to take your advise on what would be the best way of implementing such trainable wavelet denoising filter in PyTorch, which can actually be useful not only in this architecture but plugged into any architecture.
It exists in the official Tensorflow implementation of authors: https://github.com/JacobWang95/mWDN
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