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ZijunDeng
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update README.md
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README.md

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@@ -7,6 +7,7 @@ implemented in PyTorch.
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2. U-Net
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3. SegNet
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4. PSPNet
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5. GCN (global convolutional network)
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## Visualization
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Use powerful visualization of TensorBoard for PyTorch. [Here](https://github.com/lanpa/tensorboard-pytorch) to install.
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3. Set your model and training parameters in **train.py** and then run.
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## Reference
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1. I have borrowed some code from these nice repositories: [[1]](https://github.com/bodokaiser/piwise),
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I have borrowed some code from these nice repositories: [[1]](https://github.com/bodokaiser/piwise),
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[[2]](https://github.com/ycszen/pytorch-ss). Thank them for the sharing.
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## TODO
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1. DeepLab
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2. CRFAsRNN
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3. More dataset
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4. And so on
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1. DeepLab v3
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2. RefineNet
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3. CRFAsRNN
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4. Some evaluation criterion (e.g. mIOU)
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5. More dataset

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