Recent work on curvilinear structure segmentation has mostly focused on
...
Semi-supervised learning (SSL) addresses the lack of labeled data by
exp...
We examine two key questions in GAN training, namely overfitting and mod...
Contrary to the convention of using supervision for class-conditioned
ge...
We propose a GAN design which models multiple distributions effectively ...
We show empirically that the optimal strategy of parameter averaging in ...