Dec 28, 2016 · In this work we investigate unsupervised domain adaptation using adversarial neural networks to train a segmentation method which is more invariant to ...
May 23, 2017 · In this work we investigate unsupervised domain adaptation using adversarial neural networks to train a segmentation method which is more robust to differences ...
This work investigates unsupervised domain adaptation using adversarial neural networks to train a segmentation method which is more robust to differences ...
Apr 27, 2024 · In this work we investigate unsupervised domain adaptation using adversarial neural networks to train a segmentation method which is more robust ...
Jan 1, 2017 · In this work we investigate unsupervised domain adaptation using adversarial neural networks to train a segmentation method which is more ...
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Kamnitsas, K., Baumgartner, C., Ledig, C., Newcombe, V., Simpson ...
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In this paper, an improved unsupervised domain adaptation method was proposed. The proposed method considered both global alignment and category-wise alignment.
Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks ... Authors: Konstantinos Kamnitsas; Christian Baumgartner; Christian Ledig ...
Dec 28, 2016 · We present an unsupervised domain adaptation method for image segmentation by using adversarial training of two 3D neural networks. To the best ...
In this paper we study unsupervised domain adaptation, which assumes that labeled data is only available for the source domain.
In this paper, we propose an unsupervised domain adaptation framework for boosting image segmentation performance across multiple domains without using any ...