Class Incremental Learning on Tiny-ImageNet 10 tasks
49.4AccuracyDyTox
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| DyToxMemory category=Memory-based2026.05 | 49.4 | — | — | — | 0.39 | 0.7 | |
| DyToxMemory usage=Memory-based2025.03 | 47.6 | — | — | — | 32.8 | 0.67 | |
| MEMOMemory usage=Memory-based2025.03 | 46.2 | — | — | — | 34.5 | 0.74 | |
| SNVMemory category=Memory-free2026.05 | 45.7 | — | — | — | 0.05 | 0.62 | |
| NFL+Memory usage=Memory-free2025.03 | 44.7 | — | — | — | 40.26 | 0.68 | |
| NFL+Memory category=Memory-free2026.05 | 44.7 | — | — | — | 0.06 | 0.63 | |
| DCNetMemory usage=Memory-free2025.03 | 43.9 | — | — | — | 41.28 | 0.68 | |
| DCNetMemory category=Memory-free2026.05 | 43.9 | — | — | — | 0.07 | 0.6 | |
| NISPAMemory usage=Memory-free2025.03 | 35.4 | — | — | — | 45.48 | 0.63 | |
| NISPAMemory category=Memory-free2026.05 | 35.4 | — | — | — | 0.12 | 0.54 | |
| NFLMemory usage=Memory-free2025.03 | 32.5 | — | — | — | 48.5 | 0.5 | |
| DER++Memory category=Memory-based2026.05 | 21.3 | — | — | — | 0.71 | 0.44 | |
| PECMemory usage=Memory-free2025.03 | 19.4 | — | — | — | 52.96 | 0.54 | |
| PECMemory category=Memory-free2026.05 | 19.4 | — | — | — | 0.22 | 0.48 | |
| iCaRLMemory category=Memory-based2026.05 | 18.41 | — | — | — | 0.73 | 0.41 | |
| DER++Memory usage=Memory-based2025.03 | 18.1 | — | — | — | 30.4 | 0.4 | |
| SpaceNetMemory usage=Memory-free2025.03 | 17.8 | — | — | — | 50.31 | 0.54 | |
| SpaceNetMemory category=Memory-free2026.05 | 17.8 | — | — | — | 0.18 | 0.43 | |
| iCaRLMemory usage=Memory-based2025.03 | 15.8 | — | — | — | 54.8 | 0.36 | |
| LwFMemory usage=Memory-free2025.03 | 15.56 | — | — | — | 51.5 | 0.52 | |
| LwFMemory category=Memory-free2026.05 | 15.56 | — | — | — | 0.2 | 0.39 | |
| SIMemory usage=Memory-free2025.03 | 13.37 | — | — | — | 51.84 | 0.51 | |
| SIMemory category=Memory-free2026.05 | 13.37 | — | — | — | 0.27 | 0.47 | |
| EWCMemory usage=Memory-free2025.03 | 10.87 | — | — | — | 49.57 | 0.5 | |
| EWCMemory category=Memory-free2026.05 | 10.87 | — | — | — | 0.26 | 0.44 | |
| Batch Model ConsolidationBuffer Size=20002023.05 | 6.27 | 49.4 | — | 78 | — | — | |
| ERBuffer Size=51202023.05 | 5.4 | 27.4 | — | 184 | — | — | |
| EWCon2023.05 | 0.99 | 7.6 | — | 172 | — | — | |
| A-GEMBuffer Size=51202023.05 | 0.67 | 8 | — | 231 | — | — | |
| iCaRLBuffer Size=51202023.05 | 0.59 | 14.1 | — | 141 | — | — | |
| DER++Buffer Size=51202023.05 | 0.53 | 39 | — | 205 | — | — | |
| ABDModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | — | 23.17 | — | — | — | — | |
| DCMIModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | — | 25.89 | — | — | — | — | |
| Multi-Task2023.05 | — | 68.89 | — | 100 | — | — | |
| PMIModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | — | 32.43 | — | — | — | — | |
| PMI w/o CFSModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | — | 32.09 | — | — | — | — | |
| PRAKAModel inversion=false, Backbone=ResNet-32, Number of runs=52026.05 | — | 22.37 | — | — | — | — | |
| R-DFCILModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | — | 29.05 | — | — | — | — | |
| REMIXModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | — | 33.39 | — | — | — | — | |
| SGD2023.05 | — | 7.9 | — | 100 | — | — | |
| SSREModel inversion=false, Backbone=ResNet-32, Number of runs=52026.05 | — | 18.58 | — | — | — | — | |
| Upper boundModel inversion=false, Backbone=ResNet-32, Number of runs=52026.05 | — | 55.25 | — | — | — | — |