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Universal Domain Adaptation 벤치마크

Universal Domain Adaptation on VisDA2017

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H-score

34.8 48.69 62.58 76.47 90.36 2019-06 2026-09 UAN — 34.8 (2019-06-01) UAN — 34.8 (2019-06-01) SHOT-O — 44.0 (2020-02-20) SHOT-O — 44.0 (2020-02-20) OVANet — 53.1 (2021-04-07) OVANet — 53.1 (2021-04-07) DCC — 43.0 (2021-06-05) DCC — 43.0 (2021-06-05) UMAD — 58.3 (2021-12-16) UMAD — 58.3 (2021-12-16) GATE — 56.4 (2022-01-01) GATE — 56.4 (2022-01-01) UniOT — 57.32 (2022-10-31) UniOT — 57.32 (2022-10-31) SAN — 60.1 (2023-01-01) SAN — 60.1 (2023-01-01) GLC — 73.1 (2023-03-13) GLC — 73.1 (2023-03-13) UniAM — 65.18 (2023-04-24) UniAM — 65.18 (2023-04-24) MLNet — 69.9 (2023-12-13) MLNet — 69.9 (2023-12-13) LEAD — 76.6 (2024-03-06) LEAD — 76.6 (2024-03-06) TASC — 90.36 (2025-06-04) TASC — 90.36 (2025-06-04) UAN — 34.8 (2019-06-01) SHOT-O — 44.0 (2020-02-20) OVANet — 53.1 (2021-04-07) UMAD — 58.3 (2021-12-16) SAN — 60.1 (2023-01-01) GLC — 73.1 (2023-03-13) LEAD — 76.6 (2024-03-06) TASC — 90.36 (2025-06-04)
RankModel H-scoreSource-free PaperCodeYear
21 UniOT 57.32no Unified Optimal Transport Framework for Universal Domain Adaptation changwxx/uniot-for-unida 2022
22 GATE 56.4no Geometric Anchor Correspondence Mining With Uncertainty Modeling for Universal Domain Adaptation 2022
23 OVANet 53.1no OVANet: One-vs-All Network for Universal Domain Adaptation VisionLearningGroup/OVANet · VisionLearningGroup/visda21-dev 2021
24 SHOT-O 44.0yes Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation tim-learn/SHOT · Claydon-Wang/OFTTA · AlexisGuichemerreCode/survey_hist_wsol_sfda 2020
25 DCC 43.0no Domain Consensus Clustering for Universal Domain Adaptation Solacex/Domain-Consensus-Clustering 2021
26 UAN 34.8no Universal Domain Adaptation 2019
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