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SOTA
域适应
Domain Adaptation On Visda2017
Domain Adaptation On Visda2017
评估指标
Accuracy
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
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 via MLLM-Guided Reliability-Based Curriculum Learning
-
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