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The paper is very good. Can you release the detailed structure of **the prior estimation network**?Thank you The residual block,input 64 channels,output 128 channels. Does that right? About the HG...
How to install "prml"? Thanks
In train_image.py, line 94. 95行的 list 中已经有了 for i in range(10）。 外面的 for i in range(10)的作用是什么？ 谢谢。
How to train the model for Unsupervised Domain Adaptation? How to set the code for the task of Unsupervised Domain Adaptation? Thank you very much.