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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