Research Article
[Retracted] Improving Convolutional Neural Networks with Competitive Activation Function
Table 3
Classification results (%) with NIN and ResNet-110 on CIFAR.
| Model | NIN | ResNet-110 | Dataset | CIFAR-10 | CIFAR-100 | CIFAR-10 | CIFAR-100 |
| ReLU | 86.93 | 59.84 | 92.64 | 67.27 | LReLU | 87.74 | 59.70 | 92.89 | 68.16 | PReLU | 88.34 | 62.71 | 91.88 | 69.05 | ELU | 88.18 | 61.48 | 92.58 | 69.31 | SELU | | 63.10 | | 66.36 | Softplus | | | | | Swish | 84.88 | | 92.90 | 68.80 | Mish | 87.20 | 59.32 | 93.20 | 68.88 | FReLU | 90.79 | 67.36 | 92.98 | 68.91 | PFREU-A | 91.11 | 67.43 | 93.36 | 69.73 | PFREU-B | 91.24 | 67.67 | 93.38 | 70.34 | PFREU-C | 90.98 | 67.48 | 93.28 | 70.18 |
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