most citedMulti-Source domain adaptation via supervised contrastive learning and confident consistency regularization

10 citations · 10 across the 1 of their papers we have counts for

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1 paper

cs.CV2021★ 10 cited

Multi-Source domain adaptation via supervised contrastive learning and confident consistency regularization

Marin Scalbert, Maria Vakalopoulou, Florent Couzinié-Devy

Multi-Source Unsupervised Domain Adaptation (multi-source UDA) aims to learn a model from several labeled source domains while performing well on a different target domain where on…