Partial Domain Adaptation 벤치마크
Partial Domain Adaptation on Office-31
Accuracy (%)
- 2019-03-28 — ETN: Accuracy (%) 96.7
- 2019-05-26 — RTNet_adv: Accuracy (%) 96.9
- 2020-03-05 — BA^3US: Accuracy (%) 97.8
- 2020-12-06 — SLM: Accuracy (%) 98.38
| Rank | Model | Accuracy (%) | Paper | Code | Year |
|---|---|---|---|---|---|
| 1 | SLM | 98.38 | Select, Label, and Mix: Learning Discriminative Invariant Feature Representations for Partial Domain Adaptation | 2020 | |
| 2 | SCS-LP | 98.1 | Source Class Selection with Label Propagation for Partial Domain Adaptation | hellowangqian/scs-lp-pda | 2021 |
| 3 | SPDA | 98.01 | Selective Partial Domain Adaptation | Pengxin-Guo/SPDA · gpx333/spda | 2022 |
| 4 | DCC | 97.90 | Domain Consensus Clustering for Universal Domain Adaptation | Solacex/Domain-Consensus-Clustering | 2021 |
| 5 | BA^3US | 97.8 | A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation | tim-learn/BA3US | 2020 |
| 6 | RTNet_adv | 96.9 | Selective Transfer with Reinforced Transfer Network for Partial Domain Adaptation | 2019 | |
| 7 | ETN | 96.7 | Learning to Transfer Examples for Partial Domain Adaptation | thuml/ETN | 2019 |