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haeusser / learning_by_association

This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CVPR 2017) and the follow-up work Associative Domain Adaptation (ICCV 2017).
https://vision.in.tum.de/members/haeusser
Apache License 2.0
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Reproduction #17

Closed TropComplique closed 5 years ago

TropComplique commented 5 years ago

Hi! I reproduced some of your results: https://github.com/TropComplique/associative-domain-adaptation

Also I managed to train a MNIST to SVHN domain adaptation. Trick I used: random color augmentation on MNIST digits and backgrounds.

haeusser commented 5 years ago

Thank you for the update! On Sun 23. Dec 2018 at 21:03, Dan Antoshchenko notifications@github.com wrote:

Hi! I reproduced some of your results: https://github.com/TropComplique/associative-domain-adaptation

Also I managed to train a MNIST to SVHN domain adaptation. Trick I used: random color augmentation on MNIST digits and backgrounds.

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