Domain adaptation based on domain-invariant and class-distinguishable feature learning using multiple adversarial networks
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DOI: 10.1016/j.neucom.2020.06.044
Abstract: Abstract Adversarial networks have been used to learn transferable representations in many domain adaptation methods. However, there is no theoretical guarantee that two distributions are identical, even if the discriminator is fully confused. Therefore, a… read more here.
Keywords: adversarial networks; class; domain adversarial; central samples ... See more keywords