Image Classification on ImageNette standard evaluation
92.6Top-1 AccuracyFull
Evaluation Results
| Method | Links | |
|---|---|---|
| FullTest Model=ResNetAP-10, Resolution=256x2562025.07 | 92.6 | |
| detector-guided dataset distillation frameworkIPC=50, Test Model=ResNetAP-10, Resolution=256x2562025.07 | 77.7 | |
| D4MIPC=50, Test Model=ResNetAP-10, Resolution=256x2562025.07 | 76.5 | |
| DMIPC=50, Test Model=ResNetAP-10, Resolution=256x2562025.07 | 76.2 | |
| RandomIPC=50, Test Model=ResNetAP-10, Resolution=256x2562025.07 | 76.1 | |
| MinimaxIPC=50, Test Model=ResNetAP-10, Resolution=256x2562025.07 | 73.9 | |
| DiTIPC=50, Test Model=ResNetAP-10, Resolution=256x2562025.07 | 73.3 | |
| detector-guided dataset distillation frameworkIPC=20, Test Model=ResNetAP-10, Resolution=256x2562025.07 | 70.6 | |
| D4MIPC=20, Test Model=ResNetAP-10, Resolution=256x2562025.07 | 68.3 | |
| DMIPC=20, Test Model=ResNetAP-10, Resolution=256x2562025.07 | 66.5 | |
| DiTIPC=20, Test Model=ResNetAP-10, Resolution=256x2562025.07 | 64.8 | |
| MinimaxIPC=20, Test Model=ResNetAP-10, Resolution=256x2562025.07 | 64.7 | |
| RandomIPC=20, Test Model=ResNetAP-10, Resolution=256x2562025.07 | 63.5 | |
| detector-guided dataset distillation frameworkIPC=10, Test Model=ResNetAP-10, Resolution=256x2562025.07 | 61.7 | |
| DMIPC=10, Test Model=ResNetAP-10, Resolution=256x2562025.07 | 60.8 | |
| D4MIPC=10, Test Model=ResNetAP-10, Resolution=256x2562025.07 | 59.3 | |
| DiTIPC=10, Test Model=ResNetAP-10, Resolution=256x2562025.07 | 59.1 | |
| MinimaxIPC=10, Test Model=ResNetAP-10, Resolution=256x2562025.07 | 57.7 | |
| RandomIPC=10, Test Model=ResNetAP-10, Resolution=256x2562025.07 | 54.2 |