HyperAI超神经

首页资讯最新论文教程数据集百科 SOTA LLM 模型天梯 GPU 天梯顶会

中文

跟随系统

HyperAI超神经

Universal Domain Adaptation On Office Home

评估指标

H-Score

Source-free

VLM

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	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

0 of 14 row(s) selected.

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