Unsupervised Domain Adaptation using Generative Models and Self-ensembling

2 Dec 2018 Eman T. Hassan Xin Chen David Crandall

Transferring knowledge across different datasets is an important approach to successfully train deep models with a small-scale target dataset or when few labeled instances are available. In this paper, we aim at developing a model that can generalize across multiple domain shifts, so that this model can adapt from a single source to multiple targets... (read more)

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