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Image Classification on ImageWoof 256x256 (test)

86.4AccuracyFull
16.7234.8152.970.99Jul 17, 2025

Evaluation results

MethodLinks
FullIPC (Ratio)=10 (0.8%), Test Model=ConvNet-6, Resolution=256x2562025.0786.4
detector-guided dataset distillation frameworkIPC (Ratio)=100 (7.7%), Test Model=ResNet-18, Resolution=256x2562025.0765
detector-guided dataset distillation frameworkIPC (Ratio)=100 (7.7%), Test Model=ResNetAP-10, Resolution=256x2562025.0762.9
D4MIPC (Ratio)=100 (7.7%), Test Model=ResNet-18, Resolution=256x2562025.0762.3
detector-guided dataset distillation frameworkIPC (Ratio)=100 (7.7%), Test Model=ConvNet-6, Resolution=256x2562025.0759.8
detector-guided dataset distillation frameworkIPC (Ratio)=70 (5.4%), Test Model=ResNet-18, Resolution=256x2562025.0759.7
detector-guided dataset distillation frameworkIPC (Ratio)=50 (3.8%), Test Model=ResNet-18, Resolution=256x2562025.0758.3
detector-guided dataset distillation frameworkIPC (Ratio)=70 (5.4%), Test Model=ResNetAP-10, Resolution=256x2562025.0757.9
detector-guided dataset distillation frameworkIPC (Ratio)=50 (3.8%), Test Model=ResNetAP-10, Resolution=256x2562025.0755.3
detector-guided dataset distillation frameworkIPC (Ratio)=70 (5.4%), Test Model=ConvNet-6, Resolution=256x2562025.0753.4
detector-guided dataset distillation frameworkIPC (Ratio)=50 (3.8%), Test Model=ConvNet-6, Resolution=256x2562025.0751.1
detector-guided dataset distillation frameworkIPC (Ratio)=20 (1.6%), Test Model=ResNetAP-10, Resolution=256x2562025.0741.6
detector-guided dataset distillation frameworkIPC (Ratio)=20 (1.6%), Test Model=ResNet-18, Resolution=256x2562025.0740.1
detector-guided dataset distillation frameworkIPC (Ratio)=20 (1.6%), Test Model=ConvNet-6, Resolution=256x2562025.0735.1
DiTIPC (Ratio)=10 (0.8%), Test Model=ConvNet-6, Resolution=256x2562025.0734.2
GLaDIPC (Ratio)=10 (0.8%), Test Model=ConvNet-6, Resolution=256x2562025.0733.8
detector-guided dataset distillation frameworkIPC (Ratio)=10 (0.8%), Test Model=ResNetAP-10, Resolution=256x2562025.0733.7
detector-guided dataset distillation frameworkIPC (Ratio)=10 (0.8%), Test Model=ResNet-18, Resolution=256x2562025.0733.7
IDC-1IPC (Ratio)=10 (0.8%), Test Model=ConvNet-6, Resolution=256x2562025.0733.3
MinimaxIPC (Ratio)=10 (0.8%), Test Model=ConvNet-6, Resolution=256x2562025.0733.3
detector-guided dataset distillation frameworkIPC (Ratio)=10 (0.8%), Test Model=ConvNet-6, Resolution=256x2562025.0729.9
D4MIPC (Ratio)=10 (0.8%), Test Model=ConvNet-6, Resolution=256x2562025.0728.3
DMIPC (Ratio)=10 (0.8%), Test Model=ConvNet-6, Resolution=256x2562025.0726.9
HerdingIPC (Ratio)=10 (0.8%), Test Model=ConvNet-6, Resolution=256x2562025.0726.7
RandomIPC (Ratio)=10 (0.8%), Test Model=ConvNet-6, Resolution=256x2562025.0724.3
K-CenterIPC (Ratio)=10 (0.8%), Test Model=ConvNet-6, Resolution=256x2562025.0719.4