OpenCodePapers

source-free-domain-adaptation-on-visda-2017

Source-Free Domain Adaptation
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PaperCodeAccuracyModelNameReleaseDate
Empowering Source-Free Domain Adaptation with MLLM-driven Curriculum Learning✓ Link93.2RCL2024-05-28
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation✓ Link89.6SFDA2++2024-03-16
Shuffle PatchMix Augmentation with Confidence-Margin Weighted Pseudo-Labels for Enhanced Source-Free Domain Adaptation✓ Link89.4SPM2025-05-30
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation✓ Link88.1SFDA22024-03-16
C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation✓ Link87.8C-SFDA2023-03-30
Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning✓ Link87.3DaC2022-11-12
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer✓ Link87.3SHOT++2020-12-14
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation✓ Link85.9NRC2021-10-08
Generalized Source-free Domain Adaptation✓ Link85.4G-SFDA2021-08-03
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation✓ Link82.9SHOT2020-02-20
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