HyperAI초신경

Domain Adaptation On Office Home

평가 지표

Accuracy

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
Accuracy
Paper TitleRepository
CMKD89.0Unsupervised Domain Adaption Harnessing Vision-Language Pre-training
DAOD69.8Open Set Domain Adaptation: Theoretical Bound and Algorithm
FixBi72.7FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation
RCL90.0Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum Learning
PGA (ViT-B/16)85.1Enhancing Domain Adaptation through Prompt Gradient Alignment
SWG92.3Combining inherent knowledge of vision-language models with unsupervised domain adaptation through strong-weak guidance
SHOT71.8Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
MEDM69.5Entropy Minimization vs. Diversity Maximization for Domain Adaptation
MEDA (ResNet50)67.6Transfer Learning with Dynamic Distribution Adaptation
CoVi73.1Contrastive Vicinal Space for Unsupervised Domain Adaptation
GSDE73.6Gradual Source Domain Expansion for Unsupervised Domain Adaptation
MCC+NWD72.6Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation
PGA (ViT-L/14)89.4Enhancing Domain Adaptation through Prompt Gradient Alignment
PMTrans89.0Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective-
CDTrans (DeiT-B)80.5CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
BIWAA71.5Backprop Induced Feature Weighting for Adversarial Domain Adaptation with Iterative Label Distribution Alignment
ELS84.6Free Lunch for Domain Adversarial Training: Environment Label Smoothing
MIC86.2MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
SDAT (ViT-B/16)84.3A Closer Look at Smoothness in Domain Adversarial Training
EvoADA73.9On Evolving Attention Towards Domain Adaptation-
0 of 29 row(s) selected.