Research Article
Label Rectification Learning through Kernel Extreme Learning Machine
Table 1
Accuracy (%) on CIFAR-10 and CIFAR-100 datasets.
| | Model | CIFAR-10 | CIFAR-100 |
| | Gao et al. [16] | 88.34 | 62.20 | | ResNet [22] | 89.44 | — | | FractalNet [20, 29] | 89.92 | 64.66 | | Network in network [24] | 89.59 | 64.32 | | VGG19 | 90.49 | 63.83 | | VGG19-LRL (ELM) | 90.64 | 65.01 | | VGG19-LRL (KELM) | 90.86 | 65.22 | | ResNet50 | 90.79 | 68.52 | | ResNet50-LRL (ELM) | 92.11 | 71.44 | | ResNet50-LRL (KELM) | 92.28 | 72.27 |
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