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Image Classification on CIFAR-10S (test)

91.8AccuracyS4-LegS
61.317669.231377.14585.0587May 27, 2021Jul 31, 2021Oct 4, 2021Dec 9, 2021Feb 12, 2022Apr 18, 2022Jun 23, 2022

Evaluation results

MethodLinks
S4-LegSModel size=Large2022.0691.8———
S4-FouTModel size=Large2022.0691.22———
S4D-InvModel size=Large2022.0690.69———
S4D-LinModel size=Large2022.0690.42———
S4D-LegSModel size=Large2022.0689.92———
MFD2021.0582.772.736.08—
SS2021.0582.693.297.13—
SS+HKD2021.0582.2710.1520.37—
SS+FitNet2021.0581.7310.3520.92—
FitNet2021.0581.6614.8332.28—
HKD2021.0580.3415.5434.12—
NST2021.0579.715.1130.87—
Teacher2021.0579.6215.6331.32—
AD+FitNet2021.0579.5915.932.47—
AD+HKD2021.0579.2716.1933.25—
AT2021.057915.5731.25—
AD2021.0562.4911.5923.07—
DARTSSpace=S12026.02———3.84
DARTS-Space=S12026.02———2.68
DARTS+PTSpace=S12026.02———3.5
MIDASSpace=S12026.02———2.81
RDARTSSpace=S12026.02———2.78
RF-DARTSSpace=S12026.02———2.95
Shapley-NASSpace=S12026.02———2.82