Pytorch implementation of A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018).
pytorch = 1.0.0
tsnecuda
tensorboardX
tensorboard
To run VADA:
python train.py
To run VADA without VAT:
python train.py --no_vat
To run DIRT-T:
python dirtt_train.py
SVHN->MNIST | Paper | Our implementation |
---|---|---|
Source-only | 82.4 | 80.36 |
VADA-no_vat | 83.1 | 89.80 |
VADA | 94.5 | 93.00 |
VADA+DIRT-T | 99.4 | 99.50 |
Full code Instruction for data preparation Visualization
Do not hesitate to contact my via lgr2819@outlook.com if found any bug.