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Domain Adaptation
Domain Adaptation On Usps To Mnist
Domain Adaptation On Usps To Mnist
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Columns
Model Name
Accuracy
Paper Title
Repository
DRANet
97.8
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation
-
DFA-MCD
96.6
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment
-
SRDA (RAN)
95.03
Learning Smooth Representation for Unsupervised Domain Adaptation
-
FAMCD
98.75
Unsupervised domain adaptation using feature aligned maximum classifier discrepancy
-
MCD
95.7
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
-
Mean teacher
98.07
Self-ensembling for visual domain adaptation
-
CDAN
98.0
Conditional Adversarial Domain Adaptation
-
DFA-ENT
96.2
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment
-
MCD+CAT
96.3
Cluster Alignment with a Teacher for Unsupervised Domain Adaptation
-
CyCleGAN (Light-weight Calibrator)
98.3
Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation
-
FACT
98.6
FACT: Federated Adversarial Cross Training
-
SHOT
98.4
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
-
3CATN
98.3
Cycle-consistent Conditional Adversarial Transfer Networks
-
DeepJDOT
96.4
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation
-
0 of 14 row(s) selected.
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