Abstract: The high cost of data annotation has become a major factor restricting the hyperspectral image (HSI) classification task. To address this issue, domain adaptation (DA) techniques have been ...
Abstract: This article investigates the problem of continual learning (CL) of vision-language models (VLMs) in open domains, where models are required to perform continual updating and inference on a ...
This paper explores the Class-Incremental Source-Free Unsupervised Domain Adaptation~(CI-SFUDA) problem, where the unlabeled target data come incrementally without access to labeled source instances.
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