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Domain Adaptation
Domain Adaptation On Office Home
Domain Adaptation On Office Home
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Columns
Model Name
Accuracy
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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