Domain Adaptation On Office Home

평가 지표

Accuracy

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	Accuracy	Paper Title	Repository
CMKD	89.0	Unsupervised Domain Adaption Harnessing Vision-Language Pre-training
DAOD	69.8	Open Set Domain Adaptation: Theoretical Bound and Algorithm	-
FixBi	72.7	FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation	-
RCL	90.0	Empowering Source-Free Domain Adaptation via MLLM-Guided Reliability-Based Curriculum Learning	-
PGA (ViT-B/16)	85.1	Enhancing Domain Adaptation through Prompt Gradient Alignment	-
SWG	92.3	Combining inherent knowledge of vision-language models with unsupervised domain adaptation through strong-weak guidance	-
SHOT	71.8	Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation	-
MEDM	69.5	Entropy Minimization vs. Diversity Maximization for Domain Adaptation	-
MEDA (ResNet50)	67.6	Transfer Learning with Dynamic Distribution Adaptation	-
CoVi	73.1	Contrastive Vicinal Space for Unsupervised Domain Adaptation	-
GSDE	73.6	Gradual Source Domain Expansion for Unsupervised Domain Adaptation	-
MCC+NWD	72.6	Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation	-
PGA (ViT-L/14)	89.4	Enhancing Domain Adaptation through Prompt Gradient Alignment	-
PMTrans	89.0	Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective	-
CDTrans (DeiT-B)	80.5	CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation	-
BIWAA	71.5	Backprop Induced Feature Weighting for Adversarial Domain Adaptation with Iterative Label Distribution Alignment
ELS	84.6	Free Lunch for Domain Adversarial Training: Environment Label Smoothing	-
MIC	86.2	MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation	-
SDAT (ViT-B/16)	84.3	A Closer Look at Smoothness in Domain Adversarial Training	-
EvoADA	73.9	On Evolving Attention Towards Domain Adaptation	-

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