Apr 22, 2021 · Source-Free Unsupervised Domain Adaptation with Sample Transport Learning. Regular Paper; Published: 22 April 2021. Volume 36, pages 606–616 ...
To this end, this article proposes a source-free UDA which jointly models domain adaptation and sample transport learning, namely. Sample Transport Domain ...
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It typically benefits the model training of unlabeled target domain by leveraging knowledge from labeled source domain. For this purpose, the minimization of ...
To this end, this article proposes a source-free UDA which jointly models domain adaptation and sample transport learning, namely. Sample Transport Domain ...
Therefore, we use the source domain model to obtain high-confidence training samples to train a classifier for the target domain, through which we transfer ...
Source-Free Unsupervised Domain Adaptation with Sample Transport Learning. Authors. Tian, Qing; Ma, Chuang; Zhang, Feng-Yuan; Peng, Shun; Xue, Hui. Publication ...
Jan 6, 2023 · The adaptation step and sample transport learning step are performed alter- nately to refine the approximated source domain and attain confident ...
Jan 7, 2024 · This paper focuses on a sub-field within transductive transfer learning known as Unsupervised Domain Adaptation (UDA), which addresses the ...
Missing: Transport | Show results with:Transport
To address this issue, this paper proposes a novel approach that considers multiple prediction hypotheses for each sample and investigates the rationale behind ...
Missing: Transport | Show results with:Transport
In this article, we propose a novel kind of SFUDA with trusted pseudo samples (SFUDA-TPS), which uses reliable feature reference distribution to solve the SFUDA ...