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Image Classification on CIFAR-10 2009 (test)

96.53AccuracyFractional MP
90.383691.979393.57595.1707Nov 19, 2015

Evaluation results

MethodLinks
Fractional MPData Augmentation=Extreme, tests=122015.1196.53
Large ALL-CNNData Augmentation=Extreme2015.1195.59
Fractional MPData Augmentation=Extreme, tests=12015.1195.5
Fitnet4-LSUVData Augmentation=Standard, Optimizer=SGD2015.1193.94
Fitnet4-OrthoInitData Augmentation=Standard, Optimizer=SGD2015.1193.78
MINData Augmentation=Standard2015.1193.25
ALL-CNNData Augmentation=Standard2015.1192.75
Fitnet4-HighwayData Augmentation=Standard2015.1192.46
DSNData Augmentation=Standard2015.1192.03
Fitnet4-HintsData Augmentation=Standard2015.1191.61
NiNData Augmentation=Standard2015.1191.19
maxoutData Augmentation=Standard2015.1190.62