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Abstract: Unsupervised domain adaptation (UDA) aims to adapt models learned from a well-annotated source domain to a target domain, where only unlabeled samples are given. Current UDA approaches learn ...

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2026/01/08, We extended the scope of LoveDA from China to a global scale at EarthVL dataset. 2024/05/12, The new version of LoveDA dataset has been released at EarthVQA dataset. 2021/12/13, ...

LSSAE is a VAE-based probabilistic framework which incorporates variational inference to identify the continuous latent structures of covariate shift and concept shift in latent space separately and ...