Articles with "partial domain" as a keyword



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A Weighted Partial Domain Adaptation for Acoustic Scene Classification and Its Application in Fiber Optic Security System

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Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2020.3044153

Abstract: Domain adaptation (DA) is a technology that transfers knowledge from the source domain to the target domain. General domain adaptation assume that the source and the target domain have the same label space. However, in… read more here.

Keywords: domain adaptation; acoustic scene; weighted partial; partial domain ... See more keywords
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Reinforced Adaptation Network for Partial Domain Adaptation

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Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2022.3223950

Abstract: Domain adaptation enables generalized learning in new environments by transferring knowledge from label-rich source domains to label-scarce target domains. As a more realistic extension, partial domain adaptation (PDA) relaxes the assumption of fully shared label… read more here.

Keywords: domain adaptation; network; adaptation; reinforced adaptation ... See more keywords
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Critical Classes and Samples Discovering for Partial Domain Adaptation.

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Published in 2022 at "IEEE transactions on cybernetics"

DOI: 10.1109/tcyb.2022.3163432

Abstract: Partial domain adaptation (PDA) attempts to learn transferable models from a large-scale labeled source domain to a small unlabeled target domain with fewer classes, which has attracted a recent surge of interest in transfer learning.… read more here.

Keywords: domain adaptation; critical classes; target; partial domain ... See more keywords
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Contrastive Learning Assisted-Alignment for Partial Domain Adaptation.

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Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3145034

Abstract: This work addresses unsupervised partial domain adaptation (PDA), in which classes in the target domain are a subset of the source domain. The key challenges of PDA are how to leverage source samples in the… read more here.

Keywords: adaptation; learning assisted; domain; source ... See more keywords
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Small Is Beautiful: Compressing Deep Neural Networks for Partial Domain Adaptation.

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Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.1109/tnnls.2022.3194533

Abstract: Domain adaptation is a promising way to ease the costly data labeling process in the era of deep learning (DL). A practical situation is partial domain adaptation (PDA), where the label space of the target… read more here.

Keywords: domain adaptation; neural networks; domain; partial domain ... See more keywords