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Published 20 hours ago • verified publisher icon hehai131
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Pytorch implementation of DANN

DANN

This is a implementation of Domain-Adversarial Training of Neural Networks with pytorch.

Dataset

In this work, Mnist, Mnist-m, svhn digitals dataset and office-31 dataset is used to train our network. You can get the svhn and mnist on here.

experiment

Method Mnist -> Mnist_m Mnist -> svhn Svhn -> Mnist
Source Only 27.053632 18.927479 67.900000
DANN 92.512208 24.750164 81.633333

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verified publisher icon hehai131

Metadata

Pytorch implementation of DANN

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