Image Classification on ImageWoof 256x256 (test)
86.4AccuracyFull
Evaluation Results
| Method | Links | |
|---|---|---|
| FullIPC (Ratio)=10 (0.8%), Test Model=ConvNet-6, Resolution=256x2562025.07 | 86.4 | |
| detector-guided dataset distillation frameworkIPC (Ratio)=100 (7.7%), Test Model=ResNet-18, Resolution=256x2562025.07 | 65 | |
| detector-guided dataset distillation frameworkIPC (Ratio)=100 (7.7%), Test Model=ResNetAP-10, Resolution=256x2562025.07 | 62.9 | |
| D4MIPC (Ratio)=100 (7.7%), Test Model=ResNet-18, Resolution=256x2562025.07 | 62.3 | |
| detector-guided dataset distillation frameworkIPC (Ratio)=100 (7.7%), Test Model=ConvNet-6, Resolution=256x2562025.07 | 59.8 | |
| detector-guided dataset distillation frameworkIPC (Ratio)=70 (5.4%), Test Model=ResNet-18, Resolution=256x2562025.07 | 59.7 | |
| detector-guided dataset distillation frameworkIPC (Ratio)=50 (3.8%), Test Model=ResNet-18, Resolution=256x2562025.07 | 58.3 | |
| detector-guided dataset distillation frameworkIPC (Ratio)=70 (5.4%), Test Model=ResNetAP-10, Resolution=256x2562025.07 | 57.9 | |
| detector-guided dataset distillation frameworkIPC (Ratio)=50 (3.8%), Test Model=ResNetAP-10, Resolution=256x2562025.07 | 55.3 | |
| detector-guided dataset distillation frameworkIPC (Ratio)=70 (5.4%), Test Model=ConvNet-6, Resolution=256x2562025.07 | 53.4 | |
| detector-guided dataset distillation frameworkIPC (Ratio)=50 (3.8%), Test Model=ConvNet-6, Resolution=256x2562025.07 | 51.1 | |
| detector-guided dataset distillation frameworkIPC (Ratio)=20 (1.6%), Test Model=ResNetAP-10, Resolution=256x2562025.07 | 41.6 | |
| detector-guided dataset distillation frameworkIPC (Ratio)=20 (1.6%), Test Model=ResNet-18, Resolution=256x2562025.07 | 40.1 | |
| detector-guided dataset distillation frameworkIPC (Ratio)=20 (1.6%), Test Model=ConvNet-6, Resolution=256x2562025.07 | 35.1 | |
| DiTIPC (Ratio)=10 (0.8%), Test Model=ConvNet-6, Resolution=256x2562025.07 | 34.2 | |
| GLaDIPC (Ratio)=10 (0.8%), Test Model=ConvNet-6, Resolution=256x2562025.07 | 33.8 | |
| detector-guided dataset distillation frameworkIPC (Ratio)=10 (0.8%), Test Model=ResNetAP-10, Resolution=256x2562025.07 | 33.7 | |
| detector-guided dataset distillation frameworkIPC (Ratio)=10 (0.8%), Test Model=ResNet-18, Resolution=256x2562025.07 | 33.7 | |
| IDC-1IPC (Ratio)=10 (0.8%), Test Model=ConvNet-6, Resolution=256x2562025.07 | 33.3 | |
| MinimaxIPC (Ratio)=10 (0.8%), Test Model=ConvNet-6, Resolution=256x2562025.07 | 33.3 | |
| detector-guided dataset distillation frameworkIPC (Ratio)=10 (0.8%), Test Model=ConvNet-6, Resolution=256x2562025.07 | 29.9 | |
| D4MIPC (Ratio)=10 (0.8%), Test Model=ConvNet-6, Resolution=256x2562025.07 | 28.3 | |
| DMIPC (Ratio)=10 (0.8%), Test Model=ConvNet-6, Resolution=256x2562025.07 | 26.9 | |
| HerdingIPC (Ratio)=10 (0.8%), Test Model=ConvNet-6, Resolution=256x2562025.07 | 26.7 | |
| RandomIPC (Ratio)=10 (0.8%), Test Model=ConvNet-6, Resolution=256x2562025.07 | 24.3 | |
| K-CenterIPC (Ratio)=10 (0.8%), Test Model=ConvNet-6, Resolution=256x2562025.07 | 19.4 |