YU1ut / openset-DA

Code for 'Open Set Domain Adaptation by Backpropagation'

openset-DA

This is an unofficial pytorch implementation of Open Set Domain Adaptation by Backpropagation.

Requirements

• Python 3.5+
• PyTorch 0.4
• torchvision
• scikit-learn

Usage

Run SVHN -> MNIST

python train.py --task s2m --gpu <gpu_id>

Run USPS -> MNIST

python train.py --task u2m --gpu <gpu_id> --grl-rampup-epochs 50

Run MNIST -> USPS

python train.py --task m2u --gpu <gpu_id> --grl-rampup-epochs 30

For more details and parameters, please refer to --help option.

Result

Please note that the parameters are not optimized.

SVHN -> MNIST

	OS	OS*	ALL	UNK
This Code	63.8	60.6	70.7	80.1
Paper	63.0	59.1	71.0	82.3

USPS -> MNIST

	OS	OS*	ALL	UNK
This Code	84.8	85.8	82.8	79.5
Paper	92.3	91.2	94.4	97.6

MNIST -> USPS

	OS	OS*	ALL	UNK
This Code	88.3	88.4	89.0	87.9
Paper	92.1	94.9	88.1	78.0