Image Classification on ImageNette (test)
95.3AccuracyFull
Evaluation results
| Method | Links | ||
|---|---|---|---|
| FullModel=ResNet-18, IPC=50, Evaluation Protocol=Hard-label2025.10 | 95.3 | — | |
| FullModel=ResNetAP-10, IPC=50, Evaluation Protocol=Hard-label2025.10 | 94.6 | — | |
| FullModel=ConvNet-6, IPC=50, Evaluation Protocol=Hard-label2025.10 | 94.3 | — | |
| FullIPC=20, Architecture=ResNetAP-102026.06 | 93.3 | — | |
| Foreground-Aware Dataset DistillationBackbone=ResNet-18, IPC=502026.01 | 89.5 | — | |
| Foreground-Aware Dataset DistillationBackbone=ConvNet, IPC=502026.01 | 86.9 | — | |
| D4MBackbone=ResNet-18, IPC=502026.01 | 86.5 | — | |
| DAPModel=ResNetAP-10, IPC=100, Evaluation Protocol=Hard-label2025.10 | 86 | — | |
| DAPModel=ConvNet-6, IPC=100, Evaluation Protocol=Hard-label2025.10 | 85.7 | — | |
| DAPModel=ResNet-18, IPC=100, Evaluation Protocol=Hard-label2025.10 | 85.5 | — | |
| CaO2Model=ResNet-18, IPC=50, Evaluation Protocol=Soft/Hard-label2025.10 | 84.5 | — | |
| RDEDBackbone=ConvNet, IPC=502026.01 | 83.8 | — | |
| DWABackbone=ResNet-18, IPC=502026.01 | 83.2 | — | |
| DAPModel=ResNet-18, IPC=50, Evaluation Protocol=Hard-label2025.10 | 82.8 | — | |
| DAPModel=ResNetAP-10, IPC=50, Evaluation Protocol=Hard-label2025.10 | 82.3 | — | |
| DAPModel=ConvNet-6, IPC=50, Evaluation Protocol=Hard-label2025.10 | 82.2 | — | |
| RandomModel=ResNet-18, IPC=100, Evaluation Protocol=Hard-label2025.10 | 82 | — | |
| DMModel=ResNet-18, IPC=100, Evaluation Protocol=Hard-label2025.10 | 81.5 | — | |
| G-VBSMBackbone=ResNet-18, IPC=502026.01 | 81.4 | — | |
| TGDDIPC=50, Architecture=ResNetAP-102026.06 | 81.3 | — | |
| VLCPModel=ResNetAP-10, IPC=50, Evaluation Protocol=Hard-label2025.10 | 81.2 | — | |
| MGD^3 + DIVERIPC=502026.05 | 81.2 | — | |
| DATM+OursIPC=102026.03 | 81.1 | — | |
| RandomModel=ResNetAP-10, IPC=100, Evaluation Protocol=Hard-label2025.10 | 81.1 | — | |
| Minimax-OursIPC=502026.06 | 81.1 | — | |
| DMModel=ResNetAP-10, IPC=100, Evaluation Protocol=Hard-label2025.10 | 80.9 | — | |
| RDEDBackbone=ResNet-18, IPC=502026.01 | 80.4 | — | |
| DiTModel=ResNetAP-10, IPC=100, Evaluation Protocol=Hard-label2025.10 | 80.1 | — | |
| RandomModel=ConvNet-6, IPC=100, Evaluation Protocol=Hard-label2025.10 | 79.9 | — | |
| D4M+EVLFIPC=50, Test Model=ResNetAP-102026.03 | 79.7 | — | |
| MGD3+EVLFIPC=50, Test Model=ResNetAP-102026.03 | 79.5 | — | |
| MGD^3IPC=502026.05 | 79.5 | — | |
| MGD3IPC=50, Architecture=ResNetAP-102026.06 | 79.5 | — | |
| MGD3IPC=50, Test Model=ResNetAP-102026.03 | 79.2 | — | |
| DiT-OursIPC=502026.06 | 78.7 | — | |
| DMModel=ConvNet-6, IPC=100, Evaluation Protocol=Hard-label2025.10 | 78.5 | — | |
| EDITSIPC=50, Backbone=ResNetAP-102025.09 | 78.5 | — | |
| DiTModel=ConvNet-6, IPC=100, Evaluation Protocol=Hard-label2025.10 | 78.2 | — | |
| CDABackbone=ResNet-18, IPC=502026.01 | 77.8 | — | |
| DiTModel=ResNet-18, IPC=100, Evaluation Protocol=Hard-label2025.10 | 77.8 | — | |
| VLCPIPC=50, Backbone=ResNetAP-102025.09 | 77.8 | — | |
| D4MIPC=50, Test Model=ResNetAP-102026.03 | 77.7 | — | |
| D4MIPC=50, Backbone=ResNetAP-102025.09 | 77.7 | — | |
| RandomModel=ResNetAP-10, IPC=50, Evaluation Protocol=Hard-label2025.10 | 77.3 | — | |
| DiTModel=ResNetAP-10, IPC=50, Evaluation Protocol=Hard-label2025.10 | 76.9 | — | |
| DMModel=ResNetAP-10, IPC=50, Evaluation Protocol=Hard-label2025.10 | 76.7 | — | |
| MinimaxIPC=502026.06 | 76.6 | — | |
| MiniMaxIPC=50, Architecture=ResNetAP-102026.06 | 76.6 | — | |
| DMIPC=50, Test Model=ResNetAP-102026.03 | 76.2 | — | |
| RandomIPC=50, Test Model=ResNetAP-102026.03 | 76.1 | — | |
| RandomIPC=50, Backbone=ResNetAP-102025.09 | 76.1 | — | |
| RandomIPC=502026.06 | 76.1 | — | |
| RandomIPC=50, Architecture=ResNetAP-102026.06 | 76.1 | — | |
| RandomBackbone=ResNet-18, IPC=502026.01 | 75.8 | — | |
| RandomModel=ResNet-18, IPC=50, Evaluation Protocol=Hard-label2025.10 | 75.8 | — | |
| DiTModel=ResNet-18, IPC=50, Evaluation Protocol=Hard-label2025.10 | 75.2 | — | |
| D^4M + DIVERIPC=502026.05 | 75.1 | — | |
| DMModel=ResNet-18, IPC=50, Evaluation Protocol=Hard-label2025.10 | 75 | — | |
| DiTModel=ConvNet-6, IPC=50, Evaluation Protocol=Hard-label2025.10 | 74.1 | — | |
| MinimaxIPC=50, Test Model=ResNetAP-102026.03 | 73.9 | — | |
| MinimaxIPC=50, Backbone=ResNetAP-102025.09 | 73.9 | — | |
| TGDDIPC=20, Architecture=ResNetAP-102026.06 | 73.6 | — | |
| DiTIPC=50, Test Model=ResNetAP-102026.03 | 73.3 | — | |
| DiTIPC=50, Backbone=ResNetAP-102025.09 | 73.3 | — | |
| DiTIPC=502026.06 | 73.3 | — | |
| DiTIPC=50, Architecture=ResNetAP-102026.06 | 73.3 | — | |
| AutoPaletteIPC=102024.11 | 73.2 | — | |
| AutoPaletteIPC=102026.03 | 73.2 | — | |
| SPEEDIPC=102024.11 | 72.9 | — | |
| SPEEDIPC=102026.03 | 72.9 | — | |
| MGD3+EVLFIPC=20, Test Model=ResNetAP-102026.03 | 72.5 | — | |
| MGD^3 + DIVERIPC=202026.05 | 72.4 | — | |
| FreDIPC=102026.03 | 72 | — | |
| RandomBackbone=ConvNet, IPC=502026.01 | 71.8 | — | |
| RandomModel=ConvNet-6, IPC=50, Evaluation Protocol=Hard-label2025.10 | 71.8 | — | |
| D4M+EVLFIPC=20, Test Model=ResNetAP-102026.03 | 71.7 | — | |
| EDITSIPC=20, Backbone=ResNetAP-102025.09 | 71.3 | — | |
| MGD^3IPC=202026.05 | 71.2 | — | |
| MGD3IPC=20, Architecture=ResNetAP-102026.06 | 71.2 | — | |
| non-DPModel=ResNet9, epsilon=inf2022.06 | 71.11 | — | |
| DMBackbone=ConvNet, IPC=502026.01 | 70.3 | — | |
| DMModel=ConvNet-6, IPC=50, Evaluation Protocol=Hard-label2025.10 | 70.3 | — | |
| D^4MIPC=502026.05 | 70.2 | — | |
| VLCPIPC=20, Backbone=ResNetAP-102025.09 | 69.6 | — | |
| Foreground-Aware Dataset DistillationBackbone=ConvNet, IPC=102026.01 | 69.4 | — | |
| MGD3IPC=20, Test Model=ResNetAP-102026.03 | 69.2 | — | |
| Minimax-OursIPC=202026.06 | 68.3 | — | |
| Foreground-Aware Dataset DistillationBackbone=ResNet-18, IPC=102026.01 | 67.9 | — | |
| DAPModel=ResNetAP-10, IPC=10, Evaluation Protocol=Hard-label2025.10 | 67.8 | — | |
| TGDDIPC=10, Architecture=ResNetAP-102026.06 | 67.8 | — | |
| MGD^3 + DIVERIPC=102026.05 | 67.2 | — | |
| MinimaxIPC=202026.06 | 66.8 | — | |
| MiniMaxIPC=20, Architecture=ResNetAP-102026.06 | 66.8 | — | |
| DiT-OursIPC=202026.06 | 66.7 | — | |
| FrePoIPC=102024.11 | 66.5 | — | |
| DMIPC=20, Test Model=ResNetAP-102026.03 | 66.5 | — | |
| DAPModel=ResNet-18, IPC=10, Evaluation Protocol=Hard-label2025.10 | 66.4 | — | |
| MGD^3IPC=102026.05 | 66.4 | — | |
| MGD3IPC=10, Architecture=ResNetAP-102026.06 | 66.4 | — | |
| D4MBackbone=ResNet-18, IPC=102026.01 | 66.3 | — |