This repo is about the papers and codes for deep domain adaptation and domain generalization.
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Coupled Generative Adversarial Networks [2016] [Caffe and Pytorch(Official)]
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Domain Separation Networks [2016] [Tensorflow(Official)]
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CyCADA: Cycle-Consistent Adversarial Domain Adaptation [2018] [Pytorch(official)]
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Learning Semantic Representations for Unsupervised Domain Adaptation [2018] [TensorFlow(official)]
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Generate To Adapt: Aligning Domains using Generative Adversarial Networks [2018] [Pytorch(Official)]
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Partial Transfer Learning with Selective Adversarial Networks" [2018] [Caffe and Pytorch (official)]
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Adversarial Discriminative Domain Adaptation [2017] [Tensorflow(Official)] [Pytorch]
- Open Set Domain Adaptation [2017] [MATLAB(Official)]
- Multi-Adversarial Domain Adaptation [2018] [Caffe(Official)]
- Open Set Domain Adaptation by Backpropagation [2018] [Tensorflow]