Image Classification on STL-10 standard (test)
19.25Test Error (%)VGG8B+CO (predsim)
Evaluation Results
| Method | Links | |
|---|---|---|
| VGG8B+CO (predsim)Backbone=VGG8B, Parameters=12M, Loss Function=Predsim Loss (pred+sim), Regularization=Cutout2019.01 | 19.25 | |
| VGG8B (predsim)Backbone=VGG8B, Parameters=12M, Loss Function=Predsim Loss (pred+sim)2019.01 | 20.51 | |
| WideResNet-16-8+CO (global)Backbone=WideResNet-16-8, Parameters=11M, Loss Function=Global Back-propagation, Regularization=Cutout2019.01 | 20.77 | |
| VGG8B (sim)Backbone=VGG8B, Parameters=12M, Loss Function=Local Similarity Matching Loss (sim)2019.01 | 23.15 | |
| WideResNet-16-8 (global)Backbone=WideResNet-16-8, Parameters=11M, Loss Function=Global Back-propagation2019.01 | 23.48 | |
| VGG8B (pred)Backbone=VGG8B, Parameters=12M, Loss Function=Local Prediction Loss (pred)2019.01 | 26.83 | |
| VGG8B (global)Backbone=VGG8B, Parameters=12M, Loss Function=Global Back-propagation2019.01 | 33.08 |