Image Classification on GTSRB 0.5% BER (test)
96.5CA (NF)NeuralFuse
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| NeuralFuseBackbone=ResNet50, NF Variant=UNetL2023.06 | 96.5 | — | — | 93.7 | 19.7 | |
| NeuralFuseBackbone=VGG19, NF Variant=UNetS2023.06 | 96.5 | — | — | 90.8 | 21.6 | |
| NeuralFuseBackbone=ResNet18, NF Variant=UNetL2023.06 | 96.2 | — | — | 93.5 | 18.3 | |
| NeuralFuseBackbone=VGG16, NF Variant=UNetL2023.06 | 96 | — | — | 92.8 | 34 | |
| NeuralFuseBackbone=ResNet50, NF Variant=UNetS2023.06 | 95.9 | — | — | 90.6 | 16.7 | |
| NeuralFuseBackbone=ResNet18, NF Variant=DeConvS2023.06 | 95.8 | — | — | 90.1 | 14.9 | |
| NeuralFuseBackbone=VGG16, NF Variant=ConvL2023.06 | 95.6 | — | — | 93.2 | 34.4 | |
| NeuralFuseBackbone=VGG16, NF Variant=DeConvL2023.06 | 95.6 | — | — | 93.1 | 34.3 | |
| NeuralFuseBackbone=VGG19, NF Variant=ConvL2023.06 | 95.6 | — | — | 93.4 | 24.2 | |
| NeuralFuseBackbone=ResNet18, NF Variant=UNetS2023.06 | 95.5 | — | — | 91.4 | 16.2 | |
| NeuralFuseBackbone=VGG19, NF Variant=DeConvL2023.06 | 95.5 | — | — | 92.4 | 23.3 | |
| NeuralFuseBackbone=VGG19, NF Variant=DeConvS2023.06 | 95.5 | — | — | 88.8 | 19.7 | |
| NeuralFuseBackbone=ResNet18, NF Variant=DeConvL2023.06 | 95.4 | — | — | 93.4 | 18.1 | |
| NeuralFuseBackbone=ResNet50, NF Variant=ConvS2023.06 | 95.4 | — | — | 84.5 | 10.5 | |
| NeuralFuseBackbone=VGG16, NF Variant=UNetS2023.06 | 95.4 | — | — | 87.8 | 29 | |
| NeuralFuseBackbone=VGG16, NF Variant=DeConvS2023.06 | 95.1 | — | — | 84 | 25.2 | |
| NeuralFuseBackbone=VGG19, NF Variant=ConvS2023.06 | 94.9 | — | — | 87 | 17.8 | |
| NeuralFuseBackbone=VGG19, NF Variant=UNetL2023.06 | 94.9 | — | — | 91.7 | 22.6 | |
| NeuralFuseBackbone=ResNet18, NF Variant=ConvS2023.06 | 94.8 | — | — | 87.7 | 12.4 | |
| NeuralFuseBackbone=VGG11, NF Variant=UNetL2023.06 | 94.8 | — | — | 90.6 | 25.7 | |
| NeuralFuseBackbone=ResNet50, NF Variant=DeConvL2023.06 | 94.7 | — | — | 91.6 | 17.6 | |
| NeuralFuseBackbone=ResNet50, NF Variant=ConvL2023.06 | 94.6 | — | — | 90.6 | 16.6 | |
| NeuralFuseBackbone=ResNet50, NF Variant=DeConvS2023.06 | 94.6 | — | — | 87.4 | 13.5 | |
| NeuralFuseBackbone=VGG11, NF Variant=UNetS2023.06 | 94.6 | — | — | 88.9 | 24.1 | |
| NeuralFuseBackbone=VGG16, NF Variant=ConvS2023.06 | 94.3 | — | — | 82.2 | 23.4 | |
| NeuralFuseBackbone=VGG11, NF Variant=ConvL2023.06 | 93.9 | — | — | 92.6 | 27.7 | |
| NeuralFuseBackbone=VGG11, NF Variant=DeConvL2023.06 | 93.6 | — | — | 91.9 | 27.1 | |
| NeuralFuseBackbone=ResNet18, NF Variant=ConvL2023.06 | 93.4 | — | — | 89.5 | 14.3 | |
| NeuralFuseBackbone=VGG11, NF Variant=DeConvS2023.06 | 92.3 | — | — | 83.1 | 18.2 | |
| NeuralFuseBackbone=VGG11, NF Variant=ConvS2023.06 | 90.9 | — | — | 80.5 | 15.7 | |
| ResNet18Backbone=ResNet18, NeuralFuse=None2023.06 | — | 95.5 | 75.2 | — | — | |
| ResNet50Backbone=ResNet50, NeuralFuse=None2023.06 | — | 95 | 74 | — | — | |
| VGG11Backbone=VGG11, NeuralFuse=None2023.06 | — | 91.9 | 64.9 | — | — | |
| VGG16Backbone=VGG16, NeuralFuse=None2023.06 | — | 95.2 | 58.8 | — | — | |
| VGG19Backbone=VGG19, NeuralFuse=None2023.06 | — | 95.5 | 69.1 | — | — |