Data-Incremental Learning on ImageNet-100 (10T)
67.83A_TMoCo
Evaluation results
| Method | Links | |
|---|---|---|
| MoCoStrategy=PNR2023.06 | 67.83 | |
| BarlowStrategy=PNR2023.06 | 64.06 | |
| BYOLStrategy=CaSSLe2023.06 | 63.33 | |
| BarlowStrategy=CaSSLe2023.06 | 63.12 | |
| BYOLStrategy=PNR2023.06 | 63.1 | |
| VICRegStrategy=PNR2023.06 | 62.08 | |
| SimCLRStrategy=PNR2023.06 | 62.04 | |
| SimCLRStrategy=CaSSLe2023.06 | 61.68 | |
| VICRegStrategy=CaSSLe2023.06 | 61.5 | |
| BYOLStrategy=FT2023.06 | 61.39 | |
| MoCoStrategy=FT2023.06 | 60.5 | |
| MoCoStrategy=CaSSLe2023.06 | 59.72 | |
| BarlowStrategy=FT2023.06 | 59.48 | |
| VICRegStrategy=FT2023.06 | 57.3 | |
| SimCLRStrategy=FT2023.06 | 56.47 |