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HyperAI超神经

Universal Domain Adaptation On Office 31

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

			Paper Title	Repository
UniAM	95.95	no	Universal Domain Adaptation via Compressive Attention Matching	-
MLNet	92.8	no	MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation
SAN	91.8	no	Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier	-
UniOT	91.13	no	Unified Optimal Transport Framework for Universal Domain Adaptation
LEAD	87.8	yes	LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
GLC	87.8	yes	Upcycling Models under Domain and Category Shift
GATE	87.6	no	Geometric Anchor Correspondence Mining With Uncertainty Modeling for Universal Domain Adaptation	-
UMAD	87.0	yes	UMAD: Universal Model Adaptation under Domain and Category Shift	-
OVANet	86.5	no	OVANet: One-vs-All Network for Universal Domain Adaptation
DCC	80.16	no	Domain Consensus Clustering for Universal Domain Adaptation	-
CMU	73.14	no	Learning to Detect Open Classes for Universal Domain Adaptation	-
UAN	63.46	no	Universal Domain Adaptation	-

0 of 12 row(s) selected.

Universal Domain Adaptation On Office 31 | SOTA | HyperAI超神经