OpenCodePapers

domain-adaptation-on-svhn-to-mnist

Domain Adaptation
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PaperCodeAccuracyModelNameReleaseDate
Self-ensembling for visual domain adaptation✓ Link99.18Mean teacher2017-06-16
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation✓ Link98.9SHOT2020-02-20
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment✓ Link98.9DFA-MCD2020-06-23
Unsupervised domain adaptation using feature aligned maximum classifier discrepancy98.76FAMCD2022-10-03
Discriminative Feature Alignment: Improving Transferability of Unsupervised Domain Adaptation by Gaussian-guided Latent Alignment✓ Link98.2DFA-ENT2020-06-23
Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation✓ Link97.5CyCleGAN (Light-weight Calibrator)2019-11-28
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation✓ Link95.8MCD2017-12-07
Progressive Feature Alignment for Unsupervised Domain Adaptation93.9PFA2018-11-21
Learning Semantic Representations for Unsupervised Domain Adaptation✓ Link93.3MSTN2018-07-01
FACT: Federated Adversarial Cross Training✓ Link90.6FACT2023-06-01
CyCADA: Cycle-Consistent Adversarial Domain Adaptation✓ Link90.4CYCADA2017-11-08
Conditional Adversarial Domain Adaptation✓ Link89.2CDAN2017-05-26
Adversarial Discriminative Domain Adaptation✓ Link80.1ADDN2017-02-17
From source to target and back: symmetric bi-directional adaptive GAN76.1SBADA2017-05-24
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