Comments (4)
anlijuncn
commented on July 3, 2024
2
It's also confused to me too. I recommend you to read https://github.com/SaoYan/DnCNN-PyTorch
I don't know if we need some skills to initialize these weights with BN layers. If you have reached to the final result in paper. Please SHARE on you github!! I am now working on it, but only could get PSNR 29.14 for DnCNN-S. :)
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evagian
commented on July 3, 2024
Thank you @anlijuncn
I think that they are using the default tf.layers.conv2d initializer which is Xavier but I am not sure about that.
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anlijuncn
commented on July 3, 2024
Yes, in crisb-dut's code he is using default initializer. I don't know whether methods could improve the result. The author ZhangKai has released Pytorch and Keras version code on github/cszn.
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eastchun
commented on July 3, 2024
Default kernel initializer for tf.layer.conv2d is "glorot_uniform_initializer".
Please refer to code lines '315 - 317' in : https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/ops/variable_scope.py
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Related Issues (20)
- hi, i want to know how do you get your denoisy images in training and testing, can you tell me? thank you very much. HOT 1
- error xrange HOT 2
- error: AttributeError: 'Namespace' object has no attribute 'temporal' HOT 3
- Loss function formula
- Why should I feed the clear image when running the TEST part? HOT 1
- closed
- DnCNN last layer HOT 1
- Different patches for noisy and clean pairs
- Handling the variable image sizes
- About patch disunderstand
- 'float' object cannot be interpreted as an integer HOT 1
- Memory Explode HOT 6
- help HOT 2
- where is the test set?
- Same picture for denoised and noisy HOT 1
- This program will not run at all, the Python version is too old, and there are no test data. In short, it is terrible. HOT 1
- Does the size of each image have to be fixed as 180*180? HOT 1
- How to use this model for my data?
- Got Fetch argument None has invalid type <class 'NoneType'> error HOT 1
- Performance issue in /model.py (by P3) HOT 2
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