Image Classification on CIFAR-10 2009 (test)
96.53AccuracyFractional MP
Evaluation Results
| Method | Links | |
|---|---|---|
| Fractional MPData Augmentation=Extreme, tests=122015.11 | 96.53 | |
| Large ALL-CNNData Augmentation=Extreme2015.11 | 95.59 | |
| Fractional MPData Augmentation=Extreme, tests=12015.11 | 95.5 | |
| Fitnet4-LSUVData Augmentation=Standard, Optimizer=SGD2015.11 | 93.94 | |
| Fitnet4-OrthoInitData Augmentation=Standard, Optimizer=SGD2015.11 | 93.78 | |
| MINData Augmentation=Standard2015.11 | 93.25 | |
| ALL-CNNData Augmentation=Standard2015.11 | 92.75 | |
| Fitnet4-HighwayData Augmentation=Standard2015.11 | 92.46 | |
| DSNData Augmentation=Standard2015.11 | 92.03 | |
| Fitnet4-HintsData Augmentation=Standard2015.11 | 91.61 | |
| NiNData Augmentation=Standard2015.11 | 91.19 | |
| maxoutData Augmentation=Standard2015.11 | 90.62 |