Hello, I am trying to train the Q-UNet, Q-Dense on MNIST 8x8 by following the configurations in the table 2 from the supplementary. I have a few questions:
- Is the model for Q-UNet Simple "UNetUndirectedS" ?
- According to table 2, the model shape is "Channel count 2,4,8, 8 Layers each". Does this translate to depth=8, start_channels=2, qdepth=8 in the code?
- What configuration (model name and parameters) of Q-Dense is used to generate the digits in Fig. 1? I tried the default values QDenseUndirected 55 8 and the generated images turned out quite mushy.
Hello, I am trying to train the Q-UNet, Q-Dense on MNIST 8x8 by following the configurations in the table 2 from the supplementary. I have a few questions: