Incremental Learning on CIFAR-100 (10 tasks)
70.59Avg Incremental AccUpper bound
Evaluation Results
| Method | Links | |
|---|---|---|
| Upper boundModel Inversion=false, Backbone=ResNet-32, Number of runs=52026.05 | 70.59 | |
| Upper boundModel inversion=false, Backbone=ResNet-32, Number of runs=52026.05 | 70.59 | |
| REMIXModel Inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 45.38 | |
| REMIXModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 45.38 | |
| PMIModel Inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 43.9 | |
| PMIModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 43.9 | |
| PMI w/o CFSModel Inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 43.23 | |
| PMI w/o CFSModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 43.23 | |
| R-DFCILModel Inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 41.8 | |
| R-DFCILModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 41.8 | |
| ABDModel Inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 36.75 | |
| ABDModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 36.75 | |
| DCMIModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 27.7 | |
| PRAKAModel inversion=false, Backbone=ResNet-32, Number of runs=52026.05 | 26.72 | |
| SSREModel inversion=false, Backbone=ResNet-32, Number of runs=52026.05 | 17.77 | |
| DeepInversionModel Inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 11.26 | |
| DeepInversionModel inversion=true, Backbone=ResNet-32, Number of runs=52026.05 | 11.26 |