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I think the wide rest net is different of the details in https://arxiv.org/abs/1605.07146
I've tried
```
model = WideResidualNetwork(depth=16, width=1, dropout_rate=0.0, weights=None)
```
and …
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### 📦 Environment
Docker
### 📌 Version
v1.21.4
### 💻 Operating System
Ubuntu
### 🌐 Browser
Safari
### 🐛 Bug Description
I got a message every time I start Lobechat or access any chat:
Plugin…
sshzz updated
1 month ago
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I am wondering when you feed a natural image without residual secret into the decoder network.
what result will the decoder produce?
zchky updated
4 years ago
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@meliketoy
1. BatchNorm2d
```
self.bn1 = nn.BatchNorm2d(nStages[3], momentum=0.9)
```
In the official Pytorch code, they use the default value of momentum, momentum=0.1.
https://github.com/sza…
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@JiazeWang Hi, Jiaze:
In your paper III method, section _D. Recurrent Reconstruction Network_, you update the deformation residual by D1 = Dgt−D0 and correspondence residual by M¯ 1 = (M0)−1 × Mgt…
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I read your paper"HSCNN+: Advanced CNN-Based Hyperspectral Recovery from RGB Images",I want to get the codes of the deep residual network " **HSCNN-R**"。In addition,is there a pytorch version of thes…
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(1) I replaced different training sets, and this problem always occurred during training. The loss has been decreasing, but the highest PSNR value is often the beginning epoch.
![WechatIMG1811](htt…
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File "/home//ResidualAttentionNetwork-pytorch-master/Residual-Attention-Network/model/attention_module.py", line 249, in forward
out_interp3 = self.interpolation3(out_softmax3) + out_softmax2
…
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This neural network architecture is quite different from that in Alphago Zero's paper, for instance, the latter took a resnet approach, using 1 convolutional block and 19 residual blocks.
Simply sta…
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I am studying your paper--"Learning a Dilated Residual Network for SAR Image Despeckling", I want to know how do you add speckle noise to the training dataset. Thanks!!!