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SotA/Methodology/Domain Adaptation/VisDA-2017

Domain Adaptation on VisDA-2017

Metric: Accuracy (higher is better)

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#Model↕Accuracy▼AugmentationsPaperDate↕Code
1RCL93.2NoEmpowering Source-Free Domain Adaptation with ML...2024-05-28Code
2TransAdapter91.2NoTransAdapter: Vision Transformer for Feature-Cen...2024-12-05Code
3SFDA2++89.6NoSF(DA)$^2$: Source-free Domain Adaptation Throug...2024-03-16Code
4SPM89.4NoShuffle PatchMix Augmentation with Confidence-Ma...2025-05-30Code
5SFDA288.1NoSF(DA)$^2$: Source-free Domain Adaptation Throug...2024-03-16Code
6C-SFDA87.8NoC-SFDA: A Curriculum Learning Aided Self-Trainin...2023-03-30Code
7DaC87.3NoDivide and Contrast: Source-free Domain Adaptati...2022-11-12Code
8SHOT++87.3NoSource Data-absent Unsupervised Domain Adaptatio...2020-12-14Code
9NRC85.9NoExploiting the Intrinsic Neighborhood Structure ...2021-10-08Code
10G-SFDA85.4NoGeneralized Source-free Domain Adaptation2021-08-03Code
11SHOT82.9NoDo We Really Need to Access the Source Data? Sou...2020-02-20Code