Image Classification on ImageWoof 128x128 (test)
67Top-1 AccuracyReal dataset
Evaluation Results
| Method | Links | |
|---|---|---|
| Real datasetBackbone=ConvNet-52022.11 | 67 | |
| Whole DatasetData Percent=100%, Resolution=128x1282025.02 | 67 | |
| NCFMIPC=10, Ratio (%)=1.100, Resolution=128x1282025.02 | 48.4 | |
| RDEDIPC=10, Ratio (%)=1.100, Resolution=128x1282025.02 | 40.6 | |
| FTDipc=10, Backbone=ConvNet-52022.11 | 38.8 | |
| MTTipc=10, Backbone=ConvNet-52022.11 | 35.8 | |
| MTTIPC=10, Ratio (%)=1.100, Resolution=128x1282025.02 | 35.8 | |
| DMIPC=10, Ratio (%)=1.100, Resolution=128x1282025.02 | 31.4 | |
| FTDipc=1, Backbone=ConvNet-52022.11 | 30.1 | |
| MTTipc=1, Backbone=ConvNet-52022.11 | 28.6 | |
| MTTIPC=1, Ratio (%)=0.110, Resolution=128x1282025.02 | 28.6 | |
| NCFMIPC=1, Ratio (%)=0.110, Resolution=128x1282025.02 | 27.2 | |
| RandomIPC=10, Ratio (%)=1.100, Resolution=128x1282025.02 | 27 | |
| DMIPC=1, Ratio (%)=0.110, Resolution=128x1282025.02 | 21.1 | |
| RDEDIPC=1, Ratio (%)=0.110, Resolution=128x1282025.02 | 18.5 | |
| RandomIPC=1, Ratio (%)=0.110, Resolution=128x1282025.02 | 14.2 |