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中文

HyperAI超神经

Universal Domain Adaptation On Domainnet

评估指标

H-Score

Source-free

评测结果

各个模型在此基准测试上的表现结果

模型名称	H-Score	Source-free	Paper Title	Repository
GLC	55.1	yes	Upcycling Models under Domain and Category Shift	-
UMAD	47.1	yes	UMAD: Universal Model Adaptation under Domain and Category Shift	-
UAN	40.98	no	Universal Domain Adaptation	-
UniAM	61.52	no	Universal Domain Adaptation via Compressive Attention Matching	-
CMU	48.25	no	Learning to Detect Open Classes for Universal Domain Adaptation
TASC	73.28	no	Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation
OVANet	50.7	no	OVANet: One-vs-All Network 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	-
UniOT	52.04	no	Unified Optimal Transport Framework for Universal Domain Adaptation	-
SHOT-O	32.6	no	Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation	-
DCC	49.20	no	Domain Consensus Clustering for Universal Domain Adaptation

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Universal Domain Adaptation On Domainnet | SOTA | HyperAI超神经