most citedLEAD: Learning Decomposition for Source-free Universal Domain Adaptation

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cs.CV2024★ 1 cited

LEAD: Learning Decomposition for Source-free Universal Domain Adaptation

Sanqing Qu, Tianpei Zou, Lianghua He +4

Universal Domain Adaptation (UniDA) targets knowledge transfer in the presence of both covariate and label shifts. Recently, Source-free Universal Domain Adaptation (SF-UniDA) has…

cs.CV2024

GLC++: Source-Free Universal Domain Adaptation through Global-Local Clustering and Contrastive Affinity Learning

Sanqing Qu, Tianpei Zou, Florian Röhrbein +4

Deep neural networks often exhibit sub-optimal performance under covariate and category shifts. Source-Free Domain Adaptation (SFDA) presents a promising solution to this dilemma,…