Class-Incremental Learning on ImageNet-1000 100-100 scenario
62.44Last AccuracyTagFex w/ CPNS
Evaluation results
| Method | Links | ||
|---|---|---|---|
| TagFex w/ CPNSScenario=100-1002026.03 | 62.44 | 69.03 | |
| TagFexScenario=100-1002026.03 | 61.45 | 68.32 | |
| TagFex-P w/ CPNSScenario=100-1002026.03 | 61.02 | 68.45 | |
| DER w/ CPNSScenario=100-1002026.03 | 60.25 | 67.74 | |
| TagFex-PScenario=100-1002026.03 | 60.14 | 67.65 | |
| FOSTER w/ CPNSScenario=100-1002026.03 | 60.12 | 67.77 | |
| FOSTERScenario=100-1002026.03 | 59.03 | 67.18 | |
| DERScenario=100-1002026.03 | 58.83 | 66.87 |