Pytorch implementation of our source-free unsupervised domain adaptation method with denoised pseudo-labeling.
Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling MICCAI 2021
git clone https://github.com/cchen-cc/SFDA-DPL
cd SFDA-DPL
./train_source.py
and then train ./train_source.py
../logs/source
../generate_pseudo.py
and then train ./generate_pseudo.py
../generate_pseudo
../train_target.py
to start the target domain training process.The code for source domain training is modified from BEAL.