For a scientific publication, we are using the fast.ai DynamicUNet implementation that is provided within the libary, and we use a ResNet18 encoder to train our data set.
However, I am struggling to find a good citable source for this approach. Is there any good resource that we can reference when describing our model? We can of course describe what it is doing, but based on what I remember from the course there is also some more twists to it (some pixel shuffle for upsampling I think?) and we don’t want the reviewers to think that we came up with this.
I have seen this thread What is Dynamic Unet and the referenced repo, but I don’t think that is from the original author?
How do other people approach this problem of referencing (parts of) the fastai library?