Adaptative Balanced Distribution for Domain Adaptation With Strong Alignment

Aligning and balancing the marginal and conditional feature distributions are two critical procedures for unsupervised domain adaptation (UDA) problems. However, existing methods usually consider the former while ignoring the latter. To improve the problems of instability and imbalance, we propose t...

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Bibliographic Details
Main Authors: Zhengshan Wang, Xiangjun Wang, Feng Liu, Peipei Gao, Yubo Ni
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9481915/