Image Classification on S-TinyImageNet (test)
53.7Average AccuracyIndividual
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Individualpretrained=false2022.10 | 53.7 | 0 | |
| EXSSNETpretrained=false, classification_head=CNN-based, random_seeds=32022.10 | 52 | 0 | |
| SupSuppretrained=false, classification_head=CNN-based2022.10 | 50.6 | 0 | |
| SSNETpretrained=false, classification_head=CNN-based2022.10 | 49.6 | 1.9 | |
| CGATEpretrained=false2022.10 | 49.2 | 0 | |
| Multitaskpretrained=false2022.10 | 45.9 | 0 | |
| DER++pretrained=false2022.10 | 36.2 | 35.7 | |
| DERpretrained=false2022.10 | 35.9 | 37.7 | |
| ERpretrained=false2022.10 | 35.6 | 36 | |
| AGEMpretrained=false2022.10 | 21.6 | 54.9 | |
| EWCpretrained=false2022.10 | 20.5 | 52.1 | |
| SIpretrained=false2022.10 | 19.5 | 46.2 | |
| LwFpretrained=false2022.10 | 18.1 | 56.5 | |
| Naive Sequentialpretrained=false2022.10 | 11.5 | 43.9 |