HyperAI超神経

ホームニュース最新論文チュートリアルデータセット百科事典 SOTA LLMモデル GPU ランキング学会

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日本語

HyperAI超神経

Universal Domain Adaptation On Office Home

評価指標

H-Score

Source-free

VLM

評価結果

このベンチマークにおける各モデルのパフォーマンス結果

モデル名	H-Score	Source-free	VLM	Paper Title	Repository
UAN	56.58	no	no	Universal Domain Adaptation	-
CMU	61.60	no	no	Learning to Detect Open Classes for Universal Domain Adaptation
TASC	89.44	no	yes	Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation
LEAD	75.0	yes	no	LEAD: Learning Decomposition for Source-free Universal Domain Adaptation
UMAD	70.1	yes	no	UMAD: Universal Model Adaptation under Domain and Category Shift	-
GATE	75.6	no	no	Geometric Anchor Correspondence Mining With Uncertainty Modeling for Universal Domain Adaptation	-
UniOT	76.57	no	no	Unified Optimal Transport Framework for Universal Domain Adaptation
MLNet	77.4	no	no	MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation
SHOT-O	40.7	yes	no	Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
SAN	75.9	no	no	Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier
UniAM	81.68	no	no	Universal Domain Adaptation via Compressive Attention Matching	-
OVANet	71.8	no	no	OVANet: One-vs-All Network for Universal Domain Adaptation
DCC	70.18	no	no	Domain Consensus Clustering for Universal Domain Adaptation
GLC	75.6	yes	no	Upcycling Models under Domain and Category Shift

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