OpenCodePapers

domain-adaptation-on-usps-to-mnist

Domain Adaptation
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PaperCodeAccuracyModelNameReleaseDate
Unsupervised domain adaptation using feature aligned maximum classifier discrepancy98.75FAMCD2022-10-03
FACT: Federated Adversarial Cross Training✓ Link98.6FACT2023-06-01
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation✓ Link98.4SHOT2020-02-20
Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation✓ Link98.3CyCleGAN (Light-weight Calibrator)2019-11-28
Cycle-consistent Conditional Adversarial Transfer Networks✓ Link98.33CATN2019-09-17
Self-ensembling for visual domain adaptation✓ Link98.07Mean teacher2017-06-16
Conditional Adversarial Domain Adaptation✓ Link98.0CDAN2017-05-26
DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation✓ Link97.8DRANet2021-03-24
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment✓ Link96.6DFA-MCD2020-06-23
DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation✓ Link96.4DeepJDOT2018-03-27
Cluster Alignment with a Teacher for Unsupervised Domain Adaptation✓ Link96.3MCD+CAT2019-03-24
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment✓ Link96.2DFA-ENT2020-06-23
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation✓ Link95.7MCD2017-12-07
Learning Smooth Representation for Unsupervised Domain Adaptation✓ Link95.03SRDA (RAN)2019-05-26
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