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Implementation of DANN, a Domain Adaptation algorithm, on the PACS dataset using AlexNet.

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Domain adaptation on PACS dataset

Implementation of DANN, a Domain Adaptation algorithm, on the PACS dataset using AlexNet.

For all the details on DANN implementation and the results obtained see the final report

Useful resources:


References

[1] Ganin, Y., Ustinova, E., Ajakan, H., Germain, P., Larochelle, H., Laviolette, F., Marchand, M., & Lempitsky, V.S. (2016). Domain-Adversarial Training of Neural Networks. ArXiv, abs/1505.07818 - paper

[2] Krizhevsky, Alex & Sutskever, Ilya & Hinton, Geoffrey. (2012). ImageNet Classification with Deep Convolutional Neural Networks. Neural Information Processing Systems. 25. 10.1145/3065386 - paper

[3] PyTorch implementation of Domain-Adversarial Neural Networks (DANN) by @fungtion - github

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Implementation of DANN, a Domain Adaptation algorithm, on the PACS dataset using AlexNet.

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