Extending Partial Domain Adaptation Algorithms to the Open-Set Setting

Extending Partial Domain Adaptation Algorithms to the Open-Set Setting

Partial domain adaptation (PDA) is a framework for mitigating the covariate shift problem when target labels are contained in source labels. For this task, adversarial neural network (ANN) methods proposed in the literature have been proven to be flexible and effective. In this work, we adapt such m...

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Bibliographic Details
Main Authors: George Pikramenos, Evaggelos Spyrou, Stavros J. Perantonis
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
domain adaptation
open-set setting
adversarial neural networks
Online Access:https://www.mdpi.com/2076-3417/12/19/10052

Internet

https://www.mdpi.com/2076-3417/12/19/10052

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