Domain-Incremental Learning on DomainNet 6T
53.8A_TBYOL
Evaluation results
| Method | Links | |
|---|---|---|
| BYOLStrategy=Joint2023.06 | 53.8 | |
| VICRegStrategy=Joint2023.06 | 52.12 | |
| BYOLStrategy=PNR2023.06 | 51.96 | |
| BYOLStrategy=CaSSLe2023.06 | 51.52 | |
| BarlowStrategy=Joint2023.06 | 49.5 | |
| VICRegStrategy=PNR2023.06 | 48.95 | |
| BarlowStrategy=PNR2023.06 | 48.9 | |
| VICRegStrategy=CaSSLe2023.06 | 48.82 | |
| SimCLRStrategy=Joint2023.06 | 48.5 | |
| BarlowStrategy=CaSSLe2023.06 | 48.49 | |
| MoCoStrategy=Joint2023.06 | 48.2 | |
| BYOLStrategy=FT2023.06 | 47.29 | |
| SimCLRStrategy=PNR2023.06 | 46.37 | |
| VICRegStrategy=FT2023.06 | 46.11 | |
| SimCLRStrategy=CaSSLe2023.06 | 45.96 | |
| MoCoStrategy=PNR2023.06 | 43.86 | |
| BarlowStrategy=FT2023.06 | 41.87 | |
| SimCLRStrategy=FT2023.06 | 39.46 | |
| MoCoStrategy=CaSSLe2023.06 | 38.04 | |
| MoCoStrategy=FT2023.06 | 36.48 |