Image Classification on ImageNet-1K 10
55.6Overall AccuracyE2D (10x)
Evaluation results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| E2D (10x)Evaluation model=ResNet-50, IPC=102026.02 | 55.6 | — | — | — | — | — | — | — | — | — | — | |
| E2D (10x)Evaluation model=ConvNext-Tiny, IPC=102026.02 | 55 | — | — | — | — | — | — | — | — | — | — | |
| E2D (10x)Evaluation model=ResNet-101, IPC=102026.02 | 54.7 | — | — | — | — | — | — | — | — | — | — | |
| EDCEvaluation model=ConvNext-Tiny, IPC=102026.02 | 54.4 | — | — | — | — | — | — | — | — | — | — | |
| EDCEvaluation model=ResNet-50, IPC=102026.02 | 54.1 | — | — | — | — | — | — | — | — | — | — | |
| E2D (10x)Evaluation model=EfficientNet-B0, IPC=102026.02 | 52.9 | — | — | — | — | — | — | — | — | — | — | |
| EDCEvaluation model=ResNet-101, IPC=102026.02 | 51.7 | — | — | — | — | — | — | — | — | — | — | |
| EDCEvaluation model=EfficientNet-B0, IPC=102026.02 | 51.1 | — | — | — | — | — | — | — | — | — | — | |
| E2D (10x)Evaluation model=ResNet-18, IPC=102026.02 | 50 | — | — | — | — | — | — | — | — | — | — | |
| EDCEvaluation model=ResNet-18, IPC=102026.02 | 48.6 | — | — | — | — | — | — | — | — | — | — | |
| RDEDEvaluation model=ResNet-101, IPC=102026.02 | 48.3 | — | — | — | — | — | — | — | — | — | — | |
| RDEDEvaluation model=ConvNext-Tiny, IPC=102026.02 | 48.3 | — | — | — | — | — | — | — | — | — | — | |
| E2D (10x)Evaluation model=MobileNet-V2, IPC=102026.02 | 46.9 | — | — | — | — | — | — | — | — | — | — | |
| RDEDEvaluation model=ResNet-50, IPC=102026.02 | 46 | — | — | — | — | — | — | — | — | — | — | |
| E2D (10x)Evaluation model=ShuffleNet-V2, IPC=102026.02 | 45.4 | — | — | — | — | — | — | — | — | — | — | |
| EDCEvaluation model=MobileNet-V2, IPC=102026.02 | 45 | — | — | — | — | — | — | — | — | — | — | |
| RDEDEvaluation model=EfficientNet-B0, IPC=102026.02 | 42.8 | — | — | — | — | — | — | — | — | — | — | |
| RDEDEvaluation model=ResNet-18, IPC=102026.02 | 42 | — | — | — | — | — | — | — | — | — | — | |
| RDEDEvaluation model=MobileNet-V2, IPC=102026.02 | 34.4 | — | — | — | — | — | — | — | — | — | — | |
| EDCEvaluation model=ShuffleNet-V2, IPC=102026.02 | 29.8 | — | — | — | — | — | — | — | — | — | — | |
| RDEDEvaluation model=ShuffleNet-V2, IPC=102026.02 | 19.4 | — | — | — | — | — | — | — | — | — | — | |
| Adaptive RPS-Net2019.06 | — | 90.2 | 88.4 | 82.4 | 75.9 | 66.9 | 62.5 | 57.2 | 54.2 | 51.9 | 48.8 | |
| Finetuning2019.06 | — | 90.2 | 43.1 | 27.9 | 18.9 | 15.6 | 14 | 11.7 | 10 | 8.9 | 8.2 | |
| FixedRep2019.06 | — | 90.1 | 76.1 | 66.9 | 58.8 | 52.9 | 48.9 | 46.1 | 43.1 | 41.2 | 38.5 | |
| iCaRL2019.06 | — | 90.1 | 82.8 | 76.1 | 69.8 | 63.3 | 57.2 | 53.5 | 49.8 | 46.7 | 44.1 | |
| LwF2019.06 | — | 90.2 | 77.6 | 63.6 | 51.6 | 42.8 | 35.5 | 31.5 | 28.4 | 26.1 | 24.2 |