Image Classification on ImageWoof (test)
89.3AccuracyFull
Evaluation results
| Method | Links | ||
|---|---|---|---|
| FullIPC=1, Test Model=ResNet-182026.06 | 89.3 | — | |
| FullIPC=10, Test Model=ResNet-182026.06 | 89.3 | — | |
| FullIPC=20, Test Model=ResNet-182026.06 | 89.3 | — | |
| FullIPC=50, Test Model=ResNet-182026.06 | 89.3 | — | |
| FullIPC=100, Test Model=ResNet-182026.06 | 89.3 | — | |
| FullModel=ResNet-18, IPC=50, Evaluation Protocol=Hard-label2025.10 | 89 | — | |
| FullIPC=1, Test Model=ResNetAP-102026.06 | 87.5 | — | |
| FullIPC=10, Test Model=ResNetAP-102026.06 | 87.5 | — | |
| FullIPC=20, Test Model=ResNetAP-102026.06 | 87.5 | — | |
| FullIPC=50, Test Model=ResNetAP-102026.06 | 87.5 | — | |
| FullIPC=100, Test Model=ResNetAP-102026.06 | 87.5 | — | |
| FullModel=ResNetAP-10, IPC=50, Evaluation Protocol=Hard-label2025.10 | 87.2 | — | |
| FullIPC (Ratio)=10 (0.8%), Evaluate Model=ConvNet-6, Resolution=256 × 2562025.09 | 86.4 | — | |
| FullIPC=1, Test Model=ConvNet-62026.06 | 86.4 | — | |
| FullIPC=10, Test Model=ConvNet-62026.06 | 86.4 | — | |
| FullIPC=20, Test Model=ConvNet-62026.06 | 86.4 | — | |
| FullIPC=50, Test Model=ConvNet-62026.06 | 86.4 | — | |
| FullIPC=100, Test Model=ConvNet-62026.06 | 86.4 | — | |
| FullModel=ConvNet-6, IPC=50, Evaluation Protocol=Hard-label2025.10 | 85.9 | — | |
| RIC2026.04 | 85.39 | 0.049 | |
| RIC2026.04 | 85.39 | 0.049 | |
| PonderNet2026.04 | 83.68 | 0.097 | |
| PonderNet2026.04 | 83.68 | 0.097 | |
| ACT2026.04 | 83.62 | 0.097 | |
| ACT2026.04 | 83.62 | 0.097 | |
| SL2026.04 | 82.61 | 0.102 | |
| SL2026.04 | 82.61 | 0.102 | |
| Foreground-Aware Dataset DistillationBackbone=ResNet-18, IPC=502026.01 | 75.6 | — | |
| Minimax-OursIPC=100, Test Model=ResNetAP-102026.06 | 72.6 | — | |
| DAPModel=ResNet-18, IPC=100, Evaluation Protocol=Hard-label2025.10 | 71.6 | — | |
| DAPModel=ResNetAP-10, IPC=100, Evaluation Protocol=Hard-label2025.10 | 70.8 | — | |
| D4MBackbone=ResNet-18, IPC=502026.01 | 69.8 | — | |
| Minimax-OursIPC=100, Test Model=ResNet-182026.06 | 69.8 | — | |
| CaO2Model=ResNet-18, IPC=50, Evaluation Protocol=Soft/Hard-label2025.10 | 68.9 | — | |
| Minimax-OursIPC=100, Test Model=ConvNet-62026.06 | 68.7 | — | |
| RDEDBackbone=ResNet-18, IPC=502026.01 | 68.5 | — | |
| VLCPModel=ResNet-18, IPC=100, Evaluation Protocol=Hard-label2025.10 | 68.3 | — | |
| DWABackbone=ResNet-18, IPC=502026.01 | 67.8 | — | |
| Foreground-Aware Dataset DistillationBackbone=ConvNet, IPC=502026.01 | 67.1 | — | |
| D3HRModel=ResNet-18, IPC=100, Evaluation Protocol=Hard-label2025.10 | 66.8 | — | |
| EDITSIPC (Ratio)=100 (7.7%), Evaluate Model=ResNet-18, Resolution=256 × 2562025.09 | 66.3 | — | |
| VLCPModel=ResNetAP-10, IPC=100, Evaluation Protocol=Hard-label2025.10 | 65.7 | — | |
| MinimaxIPC=100, Test Model=ResNet-182026.06 | 65.7 | — | |
| G-VBSMBackbone=ResNet-18, IPC=502026.01 | 65.5 | — | |
| DMModel=ResNet-18, IPC=100, Evaluation Protocol=Hard-label2025.10 | 64.9 | — | |
| D3HRModel=ResNetAP-10, IPC=100, Evaluation Protocol=Hard-label2025.10 | 64.7 | — | |
| MinimaxIPC=100, Test Model=ResNetAP-102026.06 | 64.5 | — | |
| EDITSIPC (Ratio)=100 (7.7%), Evaluate Model=ResNetAP-10, Resolution=256 × 2562025.09 | 64.4 | — | |
| Minimax-OursIPC=50, Test Model=ResNetAP-102026.06 | 63.8 | — | |
| RandomModel=ResNet-18, IPC=100, Evaluation Protocol=Hard-label2025.10 | 63.6 | — | |
| DiT-OursIPC=100, Test Model=ResNetAP-102026.06 | 63.6 | — | |
| DAPModel=ResNetAP-10, IPC=50, Evaluation Protocol=Hard-label2025.10 | 63.3 | — | |
| DAPModel=ResNet-18, IPC=50, Evaluation Protocol=Hard-label2025.10 | 63.2 | — | |
| Minimax-OursIPC=50, Test Model=ConvNet-62026.06 | 62.9 | — | |
| VLCPModel=ConvNet-6, IPC=100, Evaluation Protocol=Hard-label2025.10 | 62.7 | — | |
| Minimax-OursIPC=50, Test Model=ResNet-182026.06 | 62.7 | — | |
| DiTModel=ResNetAP-10, IPC=100, Evaluation Protocol=Hard-label2025.10 | 62.5 | — | |
| DAPModel=ConvNet-6, IPC=100, Evaluation Protocol=Hard-label2025.10 | 62.4 | — | |
| DiT-OursIPC=100, Test Model=ResNet-182026.06 | 62.4 | — | |
| DiTModel=ResNet-18, IPC=100, Evaluation Protocol=Hard-label2025.10 | 62.3 | — | |
| RDEDBackbone=ConvNet, IPC=502026.01 | 61.5 | — | |
| RDEDIPC=50, Test Model=ConvNet-62026.06 | 61.5 | — | |
| RandomIPC=100, Test Model=ResNet-182026.06 | 61.5 | — | |
| MinimaxIPC=100, Test Model=ConvNet-62026.06 | 61.1 | — | |
| DiT-OursIPC=100, Test Model=ConvNet-62026.06 | 60.9 | — | |
| DMIPC=100, Test Model=ResNet-182026.06 | 60.2 | — | |
| DMModel=ResNetAP-10, IPC=100, Evaluation Protocol=Hard-label2025.10 | 59.8 | — | |
| CDABackbone=ResNet-18, IPC=502026.01 | 59.7 | — | |
| EDITSIPC (Ratio)=70 (5.4%), Evaluate Model=ResNetAP-10, Resolution=256 × 2562025.09 | 59.7 | — | |
| RandomIPC=100, Test Model=ResNetAP-102026.06 | 59.4 | — | |
| D3HRModel=ResNetAP-10, IPC=50, Evaluation Protocol=Hard-label2025.10 | 59.3 | — | |
| EDITSIPC (Ratio)=100 (7.7%), Evaluate Model=ConvNet-6, Resolution=256 × 2562025.09 | 59.3 | — | |
| RandomModel=ResNetAP-10, IPC=100, Evaluation Protocol=Hard-label2025.10 | 59.2 | — | |
| VLCPModel=ResNet-18, IPC=50, Evaluation Protocol=Hard-label2025.10 | 58.9 | — | |
| DiTIPC=100, Test Model=ResNet-182026.06 | 58.9 | — | |
| DiT-OursIPC=50, Test Model=ResNetAP-102026.06 | 58.8 | — | |
| EDITSIPC (Ratio)=70 (5.4%), Evaluate Model=ResNet-18, Resolution=256 × 2562025.09 | 58.4 | — | |
| DiTIPC=100, Test Model=ResNetAP-102026.06 | 58.3 | — | |
| IDC-1IPC=100, Test Model=ResNet-182026.06 | 58.3 | — | |
| D3HRModel=ResNet-18, IPC=50, Evaluation Protocol=Hard-label2025.10 | 57.6 | — | |
| DiTModel=ResNet-18, IPC=50, Evaluation Protocol=Hard-label2025.10 | 57.4 | — | |
| VLCPModel=ResNetAP-10, IPC=50, Evaluation Protocol=Hard-label2025.10 | 57.3 | — | |
| DiT-OursIPC=50, Test Model=ResNet-182026.06 | 57.3 | — | |
| MinimaxIPC=50, Test Model=ResNet-182026.06 | 57.1 | — | |
| EDITSIPC (Ratio)=50 (3.8%), Evaluate Model=ResNet-18, Resolution=256 × 2562025.09 | 56.8 | — | |
| DiT-OursIPC=50, Test Model=ConvNet-62026.06 | 56.6 | — | |
| DMIPC=100, Test Model=ResNetAP-102026.06 | 56.4 | — | |
| MinimaxIPC=50, Test Model=ResNetAP-102026.06 | 56.3 | — | |
| EDITSIPC (Ratio)=50 (3.8%), Evaluate Model=ResNetAP-10, Resolution=256 × 2562025.09 | 56.1 | — | |
| IDC-1IPC=100, Test Model=ResNetAP-102026.06 | 56.1 | — | |
| DAPModel=ConvNet-6, IPC=50, Evaluation Protocol=Hard-label2025.10 | 55.8 | — | |
| DiTModel=ResNetAP-10, IPC=50, Evaluation Protocol=Hard-label2025.10 | 55.8 | — | |
| EDITSIPC (Ratio)=70 (5.4%), Evaluate Model=ConvNet-6, Resolution=256 × 2562025.09 | 55.8 | — | |
| DMIPC=100, Test Model=ConvNet-62026.06 | 55 | — | |
| VLCPModel=ConvNet-6, IPC=50, Evaluation Protocol=Hard-label2025.10 | 54.5 | — | |
| DiTModel=ConvNet-6, IPC=100, Evaluation Protocol=Hard-label2025.10 | 54.2 | — | |
| RandomBackbone=ResNet-18, IPC=502026.01 | 54 | — | |
| RandomModel=ResNet-18, IPC=50, Evaluation Protocol=Hard-label2025.10 | 54 | — | |
| DMModel=ResNet-18, IPC=50, Evaluation Protocol=Hard-label2025.10 | 53.9 | — | |
| MinimaxIPC=50, Test Model=ConvNet-62026.06 | 53.9 | — |