Domain Adaptation On Office Home

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Accuracy

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이 벤치마크에서 각 모델의 성능 결과

		Paper Title
SWG	92.3	Combining inherent knowledge of vision-language models with unsupervised domain adaptation through strong-weak guidance
RCL	90.0	Empowering Source-Free Domain Adaptation via MLLM-Guided Reliability-Based Curriculum Learning
PGA (ViT-L/14)	89.4	Enhancing Domain Adaptation through Prompt Gradient Alignment
CMKD	89.0	Unsupervised Domain Adaption Harnessing Vision-Language Pre-training
PMTrans	89.0	Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective
MIC	86.2	MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
PGA (ViT-B/16)	85.1	Enhancing Domain Adaptation through Prompt Gradient Alignment
ELS	84.6	Free Lunch for Domain Adversarial Training: Environment Label Smoothing
SDAT (ViT-B/16)	84.3	A Closer Look at Smoothness in Domain Adversarial Training
CDTrans (DeiT-B)	80.5	CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
PGA (RN50)	75.8	Enhancing Domain Adaptation through Prompt Gradient Alignment
PCL	74.5	Probabilistic Contrastive Learning for Domain Adaptation
EvoADA	73.9	On Evolving Attention Towards Domain Adaptation
GSDE	73.6	Gradual Source Domain Expansion for Unsupervised Domain Adaptation
CoVi	73.1	Contrastive Vicinal Space for Unsupervised Domain Adaptation
FixBi	72.7	FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation
MCC+NWD	72.6	Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation
SENTRY (ResNet50)	72.2	SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation
SHOT	71.8	Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
CPGA	71.6	Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation

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Domain Adaptation On Office Home

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평가 결과