HyperAI초신경

홈 뉴스 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Universal Domain Adaptation On Office 31

평가 지표

H-score

Source-Free

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	H-score	Source-Free	Paper Title	Repository
GATE	87.6	no	Geometric Anchor Correspondence Mining With Uncertainty Modeling for Universal Domain Adaptation	-
OVANet	86.5	no	OVANet: One-vs-All Network 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
UniAM	95.95	no	Universal Domain Adaptation via Compressive Attention Matching	-
SAN	91.8	no	Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier	-
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	-
UniOT	91.13	no	Unified Optimal Transport Framework for Universal Domain Adaptation
UMAD	87.0	yes	UMAD: Universal Model Adaptation under Domain and Category Shift	-
MLNet	92.8	no	MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation

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