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ホーム
SOTA
Domain Adaptation
Domain Adaptation On Visda2017
Domain Adaptation On Visda2017
評価指標
Accuracy
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
Columns
モデル名
Accuracy
Paper Title
Repository
CDAN
73.7
Conditional Adversarial Domain Adaptation
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
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
CoVi
88.5
Contrastive Vicinal Space for Unsupervised Domain Adaptation
DePT
90.7
Visual Prompt Tuning for Test-time Domain Adaptation
-
CDTrans
88.4
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
SFDA2
88.1
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
dSNE
86.15
d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding
MIC
92.8
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
RCL
93.2
Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum Learning
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