A simple implentment of Maximum Classifier Discrepancy for Unsupervised Domain Adaptation with pytorch
The autor's github is here.It's fully functional but a little complicated.
(1) windows10
(2) python=3.7
(3) pytorch=1.5
(4) torchvision=0.6
(5) pycharm CE
usps to mnist: 88%(source) ~ 91%(target)
mnist to usps: 95%(source) ~ 92%(target)
Dwonload it and put it into a pycharm project. Create folder "models_trained" and "dataset". Run main.py