Image Classification on S-CIFAR100 (test)
75.5Average AccuracyIndividual
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Individualpretrained=false2022.10 | 75.5 | 0 | |
| EXSSNETpretrained=false, classification_head=CNN-based, random_seeds=32022.10 | 67.3 | 0 | |
| DERpretrained=false2022.10 | 62.5 | 28.4 | |
| DER++pretrained=false2022.10 | 62.5 | 27.5 | |
| SupSuppretrained=false, classification_head=CNN-based2022.10 | 62.1 | 0 | |
| ERpretrained=false2022.10 | 60.1 | 27.5 | |
| CGATEpretrained=false2022.10 | 60.1 | 0 | |
| Multitaskpretrained=false2022.10 | 53 | 0 | |
| AGEMpretrained=false2022.10 | 52.1 | 42 | |
| SIpretrained=false2022.10 | 46.1 | 47.8 | |
| EWCpretrained=false2022.10 | 32.4 | 60.5 | |
| LwFpretrained=false2022.10 | 29.5 | 70.2 | |
| SSNETpretrained=false, classification_head=CNN-based2022.10 | 23.9 | 54.4 | |
| Naive Sequentialpretrained=false2022.10 | 19.3 | 73.7 |