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Dataset Distillation on CIFAR-100 (test)

56.2AccuracyFull Dataset
26.66434.3324249.668Nov 20, 2022Jun 7, 2023Dec 24, 2023Jul 10, 2024Jan 26, 2025Aug 13, 2025Mar 1, 2026

Evaluation results

MethodLinks
Full DatasetImg/Cls=12022.1256.2—————————
Full DatasetImg/Cls=102022.1256.2—————————
Full DatasetImg/Cls=502022.1256.2—————————
SelMatchModel Arch.=ResNet18, IPC=1002026.0355.4———839127.5—62927.3
SelMatchModel Arch.=ConvNet, IPC=1002026.0354.8———828928.5—62924.5
DATMModel Arch.=ResNet18, IPC=1002026.0354.2———818925.9—63930.4
SelMatchModel Arch.=VGG11-BN, IPC=1002026.0353.3———828918.1—60936
Ours5Img/Cls=502022.1252.6424.971.1——————
DATMModel Arch.=VGG11-BN, IPC=1002026.0352.5———818926.5—62966.3
SelMatchModel Arch.=AlexNet, IPC=1002026.0352.3———818925.4—61956.3
Ours10Img/Cls=502022.1252.2219.961.09——————
Ours20Img/Cls=502022.1252.110.519.91.07——————
DATMModel Arch.=ConvNet, IPC=1002026.0351.3———829030.1—61987.3
FTDipc=50, backbone=ConvNet-32022.1150.7—————————
DATMModel Arch.=AlexNet, IPC=1002026.0350.5———808816.1—62954.1
SelMatchModel Arch.=VGG11-BN, IPC=502026.0349.7———798717.1—581,014.2
SelMatchModel Arch.=ResNet18, IPC=502026.0349.3———808821.7—60988.6
PPipc=50, backbone=ConvNet-32022.1148.4—————————
SelMatchModel Arch.=ConvNet, IPC=502026.0348.1———798723.3—59991.3
MTT+Robust Learningipc=50, backbone=ConvNet-32022.1147.9—————————
MTTipc=50, backbone=ConvNet-32022.1147.7—————————
TMImg/Cls=502022.1247.7—14.70.92——————
SelMatchModel Arch.=AlexNet, IPC=502026.0346.7———788617.8—581,003.5
SeqMatchModel Arch.=ResNet18, IPC=1002026.0345.9———788620.9—581,035.4
Ours5Img/Cls=102022.1245.625.64.971.1——————
Ours10Img/Cls=102022.1245.212.89.961.09——————
IDCImg/Cls=102022.1245.112711——————
DATMModel Arch.=VGG11-BN, IPC=502026.0345———778516.1—61990.6
DATMModel Arch.=ConvNet, IPC=502026.0344.6———768412.2—60992.5
SeqMatchModel Arch.=VGG11-BN, IPC=1002026.0344.5———788617.4—581,051.2
DATMModel Arch.=ResNet18, IPC=502026.0344.3———758314.1—591,021.1
Ours20Img/Cls=102022.1244.16.419.91.07——————
DMipc=50, backbone=ConvNet-32022.1143.6—————————
DMImg/Cls=502022.1243.62.7861.40.55——————
FTDipc=10, backbone=ConvNet-32022.1143.4—————————
PPipc=10, backbone=ConvNet-32022.1143.1—————————
SeqMatchModel Arch.=ConvNet, IPC=1002026.0343———778617.1—581,024.5
CAFE+DSAipc=50, backbone=ConvNet-32022.1142.9—————————
DSAipc=50, backbone=ConvNet-32022.1142.8—————————
DSAImg/Cls=502022.1242.8221.178.90.63——————
FTDModel Arch.=ConvNet, IPC=1002026.0342.8———778516.2—611,067.3
DATMModel Arch.=AlexNet, IPC=502026.0342.8———75838.7—591,014.7
SeqMatchModel Arch.=AlexNet, IPC=1002026.0342.1———778516.1—571,032.5
MTTModel Arch.=ResNet18, IPC=1002026.0341.9———818824.8—561,089.2
FTDModel Arch.=VGG11-BN, IPC=1002026.0341.6———768515.2—611,028.9
MTTModel Arch.=VGG11-BN, IPC=1002026.0340.7———798720.9—581,035.2
MTTModel Arch.=ConvNet, IPC=1002026.0340.5———798618.984.1591,023.4
FTDModel Arch.=ResNet18, IPC=1002026.0340.5———778414.5—601,043.5
SeqMatchModel Arch.=VGG11-BN, IPC=502026.0340.4———778513.6—561,033.3
TMImg/Cls=102022.1240.19.4714.70.92——————
SelMatchModel Arch.=AlexNet, IPC=252026.0339.9———778512.2—541,084.6
MTTipc=10, backbone=ConvNet-32022.1139.7—————————
MTT+Robust Learningipc=10, backbone=ConvNet-32022.1139.4—————————
SeqMatchModel Arch.=ConvNet, IPC=502026.0339.2———778516.1—571,037.6
MTTModel Arch.=AlexNet, IPC=1002026.0338.7———778516—581,037.5
SelMatchModel Arch.=ConvNet, IPC=252026.0338.6———768315.7—551,036.5
FTDModel Arch.=AlexNet, IPC=1002026.0338.5———758315.1—601,018.3
SelMatchModel Arch.=VGG11-BN, IPC=252026.0338.4———798617.3—551,042.6
SeqMatchModel Arch.=ResNet18, IPC=502026.0338.1———748112.7—561,044.8
CAFEipc=50, backbone=ConvNet-32022.1137.9—————————
CAFEImg/Cls=502022.1237.9——0.56——————
FTDModel Arch.=ConvNet, IPC=502026.0337.6———74829.6—601,073.3
SelMatchModel Arch.=ResNet18, IPC=252026.0337.5———788617.4—571,028.5
SeqMatchModel Arch.=AlexNet, IPC=502026.0337.2———758312.9—551,078.3
FTDModel Arch.=ResNet18, IPC=502026.0336.6———728010.5—591,067.4
MTTModel Arch.=VGG11-BN, IPC=502026.0336.2———768014.1—551,075.2
FTDModel Arch.=VGG11-BN, IPC=502026.0335.7———778615.1—581,036.9
MTTModel Arch.=AlexNet, IPC=502026.0335.6———778510.4—561,043.9
SeqMatchModel Arch.=ResNet18, IPC=252026.0335.2———74817.5—551,053.1
DATMModel Arch.=ResNet18, IPC=252026.0335.1———768511.7—571,048.2
MTTModel Arch.=ConvNet, IPC=502026.0334.8———73819.582.7551,082.5
SeqMatchModel Arch.=VGG11-BN, IPC=252026.0333.9———74827.2—531,088.4
DATMModel Arch.=AlexNet, IPC=252026.0333.7———75839.1—561,043.8
MTTModel Arch.=ResNet18, IPC=502026.0333.5———73807.4—561,052.1
DATMModel Arch.=VGG11-BN, IPC=252026.0333.2———75838.6—551,036.4
SeqMatchModel Arch.=ConvNet, IPC=252026.0332.8———73818.8—541,077.5
DATMModel Arch.=ConvNet, IPC=252026.0332.6———748210.2—571,056.8
DSAipc=10, backbone=ConvNet-32022.1132.3—————————
DSAImg/Cls=102022.1232.317.578.90.63——————
SelMatchModel Arch.=ConvNet, IPC=102026.0332.2———74829.7—541,067.4
FTDModel Arch.=AlexNet, IPC=502026.0331.8———73816.3—591,056.9
SeqMatchModel Arch.=AlexNet, IPC=252026.0331.6———72808.9—541,086.3
CAFE+DSAipc=10, backbone=ConvNet-32022.1131.5—————————
SelMatchModel Arch.=AlexNet, IPC=102026.0331.3———73808.9—541,064.9
SelMatchModel Arch.=ResNet18, IPC=102026.0330.6———72794.3—531,078.4
SelMatchModel Arch.=VGG11-BN, IPC=102026.0330.5———74827.1—541,089.4
MTTModel Arch.=ResNet18, IPC=252026.0330.1———65711.3—541,034
Ours5Img/Cls=12022.1229.825.14.971.1——————
DMipc=10, backbone=ConvNet-32022.1129.7—————————
DMImg/Cls=102022.1229.72.6461.40.55——————
Ours10Img/Cls=12022.1229.412.59.961.09——————
MTTModel Arch.=VGG11-BN, IPC=252026.0329.2———66721.9—541,058.6
Ours20Img/Cls=12022.1229.16.2719.91.07——————
SeqMatchModel Arch.=VGG11-BN, IPC=102026.0329.1———71773.7—521,102.3
SeqMatchModel Arch.=ResNet18, IPC=102026.0328.5———69762.6—521,092.3
DATMModel Arch.=ResNet18, IPC=102026.0328.3———70774.2—541,077.5
MTTModel Arch.=ConvNet, IPC=252026.0328.2———65711.883.2561,032.7
DATMModel Arch.=VGG11-BN, IPC=102026.0328.1———69761.4—531,089
CAFEipc=10, backbone=ConvNet-32022.1127.8—————————
CAFEImg/Cls=102022.1227.8——0.56——————