OpenCodePapers

domain-adaptation-on-mnist-to-usps

Domain Adaptation
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PaperCodeAccuracyModelNameReleaseDate
FACT: Federated Adversarial Cross Training✓ Link98.8FACT2023-06-01
Unsupervised domain adaptation using feature aligned maximum classifier discrepancy98.72FAMCD2022-10-03
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment✓ Link98.6DFA-MCD2020-06-23
Self-ensembling for visual domain adaptation✓ Link98.26Mean teacher2017-06-16
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation✓ Link98.2DRANet2021-03-24
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation✓ Link98.0SHOT2020-02-20
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment✓ Link97.9DFA-ENT2020-06-23
Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation✓ Link97.1CyCleGAN (Light-weight Calibrator)2019-11-28
Cycle-consistent Conditional Adversarial Transfer Networks✓ Link96.13CATN2019-09-17
Cluster Alignment with a Teacher for Unsupervised Domain Adaptation✓ Link96rRevGrad+CAT2019-03-24
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation✓ Link95.7DeepJDOT2018-03-27
Learning Smooth Representation for Unsupervised Domain Adaptation✓ Link94.76SRDA (RAN)2019-05-26
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation✓ Link93.8MCD2017-12-07
Adversarial Discriminative Domain Adaptation✓ Link90.1ADDN2017-02-17
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