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Implementation of "Adversarial Discriminative Domain Adaptation" in PyTorch
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README.md

ADDA.PyTorch

Implementation of "Adversarial Discriminative Domain Adapation" in PyTorch

This repo is mostly based on https://github.com/Fujiki-Nakamura/ADDA.PyTorch

Note

Before running the training code, make sure that DATASETDIR environment variable is set to dataset directory.

Example

$ python train_source.py --logdir outputs
$ python main.py --logdir outputs --trained outputs/best_model.pt --slope 0.2

Result

SVHN -> MNIST

Paper This Repro
Source only 0.601 0.659
ADDA 0.760 ~0.83

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