Semi‐supervised domain adaptation via subspace exploration

Abstract Recent methods of learning latent representations in Domain Adaptation (DA) often entangle the learning of features and exploration of latent space into a unified process. However, these methods can cause a false alignment problem and do not generalise well to the alignment of distributions...

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Bibliographic Details
Main Authors: Zheng Han, Xiaobin Zhu, Chun Yang, Zhiyu Fang, Jingyan Qin, Xucheng Yin
Format: Article
Language:English
Published: Wiley 2024-04-01
Series:IET Computer Vision
Subjects:
Online Access:https://doi.org/10.1049/cvi2.12254