Image Classification on ImageNette 128x128 (test)
87.4Top-1 AccReal dataset
Evaluation Results
| Method | Links | |
|---|---|---|
| Real datasetBackbone=ConvNet-52022.11 | 87.4 | |
| Whole DatasetData Percent=100%, Resolution=128x1282025.02 | 87.4 | |
| NCFMIPC=10, Ratio (%)=1.050, Resolution=128x1282025.02 | 77.6 | |
| FTDipc=10, Backbone=ConvNet-52022.11 | 67.7 | |
| RDEDIPC=10, Ratio (%)=1.050, Resolution=128x1282025.02 | 63.2 | |
| MTTipc=10, Backbone=ConvNet-52022.11 | 63 | |
| MTTIPC=10, Ratio (%)=1.050, Resolution=128x1282025.02 | 63 | |
| DMIPC=10, Ratio (%)=1.050, Resolution=128x1282025.02 | 58.1 | |
| NCFMIPC=1, Ratio (%)=0.105, Resolution=128x1282025.02 | 53.4 | |
| FTDipc=1, Backbone=ConvNet-52022.11 | 52.2 | |
| MTTipc=1, Backbone=ConvNet-52022.11 | 47.7 | |
| MTTIPC=1, Ratio (%)=0.105, Resolution=128x1282025.02 | 47.7 | |
| RandomIPC=10, Ratio (%)=1.050, Resolution=128x1282025.02 | 47.7 | |
| RDEDIPC=1, Ratio (%)=0.105, Resolution=128x1282025.02 | 33.8 | |
| DMIPC=1, Ratio (%)=0.105, Resolution=128x1282025.02 | 32.8 | |
| RandomIPC=1, Ratio (%)=0.105, Resolution=128x1282025.02 | 23.5 |