Continual Learning on CIFAR-100 i-Blurry-50-10 (test)
61.7Average AccuracyEB (trained on S)
Evaluation Results
| Method | Links | |
|---|---|---|
| EB (trained on S)Encoder Initialization=Trained on entire dataset S, Number of Tasks=52025.07 | 61.7 | |
| EB (CLIP)Encoder Initialization=CLIP (ViT-B/32), Number of Tasks=52025.07 | 59.99 | |
| EB (trained on S)Encoder Initialization=Trained on entire dataset S, Number of Tasks=102025.07 | 59.63 | |
| EB (trained on S)Encoder Initialization=Trained on entire dataset S, Number of Tasks=252025.07 | 59.51 | |
| EB (IN)Encoder Initialization=ImageNet (IN), Number of Tasks=52025.07 | 59.06 | |
| EB (CLIP)Encoder Initialization=CLIP (ViT-B/32), Number of Tasks=252025.07 | 57.44 | |
| EB (CLIP)Encoder Initialization=CLIP (ViT-B/32), Number of Tasks=102025.07 | 56.69 | |
| FOSTERNumber of Tasks=52025.07 | 52.8 | |
| EB (IN)Encoder Initialization=ImageNet (IN), Number of Tasks=102025.07 | 50.27 | |
| CLIBNumber of Tasks=52025.07 | 49.22 | |
| CLIBNumber of Tasks=102025.07 | 46.15 | |
| CLIBNumber of Tasks=252025.07 | 43.64 | |
| FOSTERNumber of Tasks=102025.07 | 42.59 | |
| EWC++Number of Tasks=52025.07 | 38.78 | |
| EB (IN)Encoder Initialization=ImageNet (IN), Number of Tasks=252025.07 | 38.46 | |
| ER-MIRNumber of Tasks=52025.07 | 38.28 | |
| BiCNumber of Tasks=52025.07 | 37.61 | |
| BiCNumber of Tasks=102025.07 | 37.4 | |
| RMNumber of Tasks=252025.07 | 36.85 | |
| BiCNumber of Tasks=252025.07 | 35.55 | |
| ER-MIRNumber of Tasks=102025.07 | 35.29 | |
| RMNumber of Tasks=102025.07 | 34.93 | |
| EWC++Number of Tasks=102025.07 | 34.85 | |
| GDumbNumber of Tasks=52025.07 | 34.03 | |
| iCaRLNumber of Tasks=52025.07 | 33.55 | |
| RMNumber of Tasks=52025.07 | 33.27 | |
| FOSTERNumber of Tasks=252025.07 | 33.17 | |
| GDumbNumber of Tasks=102025.07 | 32.35 | |
| GDumbNumber of Tasks=252025.07 | 31.87 | |
| ER-MIRNumber of Tasks=252025.07 | 30 | |
| EWC++Number of Tasks=252025.07 | 29.46 | |
| iCaRLNumber of Tasks=102025.07 | 24.21 | |
| iCaRLNumber of Tasks=252025.07 | 14.57 |