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الرئيسية
SOTA
التكيف النطاقي
Domain Adaptation On Visda2017
Domain Adaptation On Visda2017
المقاييس
Accuracy
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
Accuracy
Paper Title
Repository
CDAN
73.7
Conditional Adversarial Domain Adaptation
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CRST
78.1
Confidence Regularized Self-Training
-
CAN
87.2
Contrastive Adaptation Network for Unsupervised Domain Adaptation
-
MCC+NWD
83.7
Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation
-
SWG
92.7
Combining inherent knowledge of vision-language models with unsupervised domain adaptation through strong-weak guidance
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PMtrans
88.8
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective
-
FixBi
87.2
FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation
-
SENTRY (ResNet50)
76.7
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation
-
JAN
58.3
Deep Transfer Learning with Joint Adaptation Networks
-
SFDA2++
89.6
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
-
CPGA
86.0
Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation
-
Mean teacher
85.4
Self-ensembling for visual domain adaptation
-
DeepJDOT
66.9
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation
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CoVi
88.5
Contrastive Vicinal Space for Unsupervised Domain Adaptation
-
DePT
90.7
Visual Prompt Tuning for Test-time Domain Adaptation
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CDTrans
88.4
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
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SFDA2
88.1
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
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dSNE
86.15
d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding
MIC
92.8
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
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RCL
93.2
Empowering Source-Free Domain Adaptation via MLLM-Guided Reliability-Based Curriculum Learning
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