Research Article
Deep Residual Network in Network
| Ref | Method | Error (%) |
| Without data augmentation | [30] | Stochastic pooling | 15.13 | [39] | Maxout network (k = 2) | 11.68 | [2] | NIN | 10.41 | [1] | DNIN | 9.37 | Our | DrNIN (l = 5) | 9,03 | [40] | MIM (k = 2) | 8.52 ± 0.20 |
| With data augmentation | [39] | Maxout network (k = 2) | 9.38 | [2] | NIN | 8.81 | [1] | DNIN | 7.46 | Our | DrNIN (l = 5) | 7.21 | [14] | ResNet | 6.43 | [23] | Wide ResNet (28, 10) | 3.89 | [48] | ResNeXt | 3.58 |
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