Universal Domain Adaptation On Domainnet

Metrics

H-Score

Source-free

Results

Performance results of various models on this benchmark

			Paper Title
TASC	73.28	no	Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation
UniAM	61.52	no	Universal Domain Adaptation via Compressive Attention Matching
GLC	55.1	yes	Upcycling Models under Domain and Category Shift
UniOT	52.04	no	Unified Optimal Transport Framework for Universal Domain Adaptation
SAN	52.0	no	Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier
LEAD	50.8	yes	LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
OVANet	50.7	no	OVANet: One-vs-All Network for Universal Domain Adaptation
DCC	49.20	no	Domain Consensus Clustering for Universal Domain Adaptation
CMU	48.25	no	Learning to Detect Open Classes for Universal Domain Adaptation
UMAD	47.1	yes	UMAD: Universal Model Adaptation under Domain and Category Shift
UAN	40.98	no	Universal Domain Adaptation
SHOT-O	32.6	no	Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation

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Universal Domain Adaptation On Domainnet | SOTA | HyperAI