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Domain Adaptation
Domain Adaptation On Svhn To Mnist
Domain Adaptation On Svhn To Mnist
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Columns
Model Name
Accuracy
Paper Title
Repository
ADDN
80.1
Adversarial Discriminative Domain Adaptation
-
CYCADA
90.4
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
-
Mean teacher
99.18
Self-ensembling for visual domain adaptation
-
DFA-MCD
98.9
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment
-
DFA-ENT
98.2
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment
-
CDAN
89.2
Conditional Adversarial Domain Adaptation
-
CyCleGAN (Light-weight Calibrator)
97.5
Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation
-
SBADA
76.1
From source to target and back: symmetric bi-directional adaptive GAN
-
FAMCD
98.76
Unsupervised domain adaptation using feature aligned maximum classifier discrepancy
-
SHOT
98.9
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
-
MCD
95.8
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
-
FACT
90.6
FACT: Federated Adversarial Cross Training
-
MSTN
93.3
Learning Semantic Representations for Unsupervised Domain Adaptation
PFA
93.9
Progressive Feature Alignment for Unsupervised Domain Adaptation
-
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