Universal Domain Adaptation On Office Home
평가 지표
H-Score
Source-free
VLM
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | H-Score | Source-free | VLM |
|---|---|---|---|
| universal-domain-adaptation | 56.58 | no | no |
| learning-to-detect-open-classes-for-universal | 61.60 | no | no |
| target-semantics-clustering-via-text | 89.44 | no | yes |
| lead-learning-decomposition-for-source-free | 75.0 | yes | no |
| umad-universal-model-adaptation-under-domain | 70.1 | yes | no |
| geometric-anchor-correspondence-mining-with | 75.6 | no | no |
| unified-optimal-transport-framework-for | 76.57 | no | no |
| mlnet-mutual-learning-network-with | 77.4 | no | no |
| do-we-really-need-to-access-the-source-data | 40.7 | yes | no |
| boosting-novel-category-discovery-over-1 | 75.9 | no | no |
| universal-domain-adaptation-via-compressive | 81.68 | no | no |
| ovanet-one-vs-all-network-for-universal | 71.8 | no | no |
| domain-consensus-clustering-for-universal | 70.18 | no | no |
| upcycling-models-under-domain-and-category | 75.6 | yes | no |