METHOD FOR DOMAIN ADAPTATION BASED ON ADVERSARIAL LEARNING AND APPARATUS THEREOF

摘要

A domain adaptation method and apparatus based on adversarial learning are provided. The method may include extracting feature data from multiple data sets, training a first discriminator discriminating a domain for a first class using first feature data extracted from a first data set corresponding to a first class of a first domain among the multiple data sets and training the first discriminator using second feature data extracted from a second data set corresponding to the first class of a second domain among the multiple data sets. The method may also include training a second discriminator discriminating a domain for a second class using third feature data extracted from a third data set that corresponds to a second class of the first domain, and training the second discriminator using fourth feature data extracted from a fourth data set that corresponds to the second class of the second domain.