Image Classification on CIFAR-100+ augmented (test)
0.1168Error RateColornet-40-48
Evaluation results
| Method | Links | |
|---|---|---|
| Colornet-40-48No of Parameters=19.0M2019.02 | 0.1168 | |
| Densenet-BC-190-40No of Parameters=25.6M2019.02 | 0.1718 | |
| Colornet-40-12No of Parameters=1.75M2019.02 | 0.1742 | |
| Densenet-BC-250-24No of Parameters=15.3M2019.02 | 0.176 | |
| Densenet-BC-100-12No of Parameters=0.8M2019.02 | 0.202 | |
| Wide-Resnet-28No of Parameters=36.5M2019.02 | 0.205 | |
| FractalnetNo of Parameters=38.6M, dropout=false2019.02 | 0.233 | |
| FractalnetNo of Parameters=38.6M, dropout=true2019.02 | 0.2373 | |
| Resnet-101No of Parameters=1.7M2019.02 | 0.2458 | |
| Highway Network2019.02 | 0.3229 | |
| all-CNN2019.02 | 0.3371 |