You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
There is no need to reduce the number of layers in the UNet, my basic module has three SSMs, you can remove the one that is the most computationally intensive (after reshaping); besides, you can conduct a ReLU or Sigmoid on the output of the UNet and do a residual or multiplication operation with the original input image.
There is no need to reduce the number of layers in the UNet, my basic module has three SSMs, you can remove the one that is the most computationally intensive (after reshaping); besides, you can conduct a ReLU or Sigmoid on the output of the UNet and do a residual or multiplication operation with the original input image.
output = nn.ReLU()(UNet(x))
output = output * x - output + 1 // AODNet equation
return output
The text was updated successfully, but these errors were encountered: