Jun 24, 2024 · Abstract page for arXiv paper 2407.09524: Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation.
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2) Geometric framework: the domains are considered as vector spaces or manifolds, and the learning principles are usually based on matrix norm and subspace ...
The adaptation process implies the alignment of the basis vectors between different domains. Compared with the statistical framework, the geometric framework ...
Extensive experiment results validate the effectiveness of the proposed model in empirical applications, and verify that the geometric abilities can be ...
Sep 13, 2024 · Abstract. To overcome the restriction of identical distribution assumption, invariant representation learning for unsupervised domain adaptation ...
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What is the theory of domain adaptation?
What is domain adaptation in image classification?
In this paper, we present an open set domain adaptation algorithm via exploring transferability and discriminability (OSDA-ETD) for remote sensing image scene ...
Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation ... Extensive experiment results validate the effectiveness of the ...
Domain adaptation (DA) aims to generalize a learning model across training and testing data despite the mismatch of their data distributions.
Missing: Discriminability | Show results with:Discriminability
Conventional domain adaptation (DA) techniques aim to improve domain transferability by learning domain-invariant representations; while concur- rently ...
Geometric Understanding of Discriminability and Transferability for Visual Domain Adaptation ... Domain Specific Classifier for Partial Domain Adaptation.