Object Recognition on ImageNet CLS-LOC first 1,000 images (val)
26Top-1 ErrorBaseline
Evaluation results
| Method | Links | ||
|---|---|---|---|
| BaselineEvaluation model=ResNet-50, Input resolution=224x2242018.07 | 26 | 7.2 | |
| BaselineClassifier=ResNet-50, Upscaling factor=Original (no scaling)2019.06 | 26 | 7.2 | |
| DRLNClassifier=ResNet-50, Upscaling factor=4x2019.06 | 34.5 | 12.1 | |
| RCANEvaluation model=ResNet-50, Input resolution=56x562018.07 | 39.3 | 16.7 | |
| RCANClassifier=ResNet-50, Upscaling factor=4x2019.06 | 39.3 | 16.7 | |
| FSRCNNEvaluation model=ResNet-50, Input resolution=56x562018.07 | 43.7 | 19.6 | |
| FSRCNNClassifier=ResNet-50, Upscaling factor=4x2019.06 | 43.7 | 19.6 | |
| ENet-EEvaluation model=ResNet-50, Input resolution=56x562018.07 | 44.9 | 21.4 | |
| ENet-EClassifier=ResNet-50, Upscaling factor=4x2019.06 | 44.9 | 21.4 | |
| PSyCoEvaluation model=ResNet-50, Input resolution=56x562018.07 | 45.4 | 22.4 | |
| PSyCoClassifier=ResNet-50, Upscaling factor=4x2019.06 | 45.4 | 22.4 | |
| DRCNEvaluation model=ResNet-50, Input resolution=56x562018.07 | 47.7 | 24.2 | |
| DRCNClassifier=ResNet-50, Upscaling factor=4x2019.06 | 47.7 | 24.2 | |
| BicubicEvaluation model=ResNet-50, Input resolution=56x562018.07 | 50.6 | 26.6 | |
| BicubicClassifier=ResNet-50, Upscaling factor=4x2019.06 | 50.6 | 26.6 |