Official Implementation for SIDE

SIDE: Self-supervised Intermediate Domain Exploration for Source-free Domain Adaptation

This implementation is based on proxy.

Prerequisites:

• python == 3.9
• pytorch ==1.0.0
• torchvision == 0.2.1

Dataset:

• Please create the folder './data/.'.
• The datasets Office, Office-Home, VisDA-C can be obtained from the official websites. Please modify the path of images in each '.txt' under the folder './data/'.

Training:

1. Train on the source domain python source.py -dset office --s 0 --max_epoch 50
2. Train on the target domain

   Office-31 dataset

   python target.py --dset office  --gpu_id 0 --s 1 --t 0 --max_epoch 100 --batch_size 64
   python target.py --dset office  --gpu_id 0 --s 2 --t 0 --max_epoch 100 --batch_size 64

Citation

If you find this code useful for your research, please cite our papers

SIDE: Self-supervised Intermediate Domain Exploration for Source-free Domain Adaptation