Image Classification on GTSRB 1% BER (test)
96.4CA (NF)NeuralFuse
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| NeuralFuseBackbone=VGG16, NF Variant=DeConvL2023.06 | 96.4 | — | — | 72 | 56.9 | |
| NeuralFuseBackbone=VGG16, NF Variant=ConvL2023.06 | 96.3 | — | — | 72.4 | 57.3 | |
| NeuralFuseBackbone=ResNet18, NF Variant=UNetL2023.06 | 96.2 | — | — | 93.8 | 56.9 | |
| NeuralFuseBackbone=VGG19, NF Variant=ConvL2023.06 | 96 | — | — | 88.3 | 51.7 | |
| NeuralFuseBackbone=ResNet18, NF Variant=UNetS2023.06 | 95.9 | — | — | 85.1 | 48.2 | |
| NeuralFuseBackbone=VGG16, NF Variant=UNetL2023.06 | 95.8 | — | — | 78.6 | 63.5 | |
| NeuralFuseBackbone=ResNet18, NF Variant=ConvL2023.06 | 95.7 | — | — | 91.1 | 54.2 | |
| NeuralFuseBackbone=ResNet18, NF Variant=DeConvS2023.06 | 95.7 | — | — | 78.1 | 41.2 | |
| NeuralFuseBackbone=ResNet18, NF Variant=DeConvL2023.06 | 95.6 | — | — | 91.3 | 54.4 | |
| NeuralFuseBackbone=ResNet50, NF Variant=ConvL2023.06 | 95.6 | — | — | 71.6 | 42.1 | |
| NeuralFuseBackbone=VGG19, NF Variant=DeConvL2023.06 | 95.4 | — | — | 87.2 | 50.6 | |
| NeuralFuseBackbone=VGG19, NF Variant=UNetL2023.06 | 95.4 | — | — | 88.2 | 51.7 | |
| NeuralFuseBackbone=VGG11, NF Variant=DeConvL2023.06 | 95 | — | — | 84.6 | 49.7 | |
| NeuralFuseBackbone=ResNet50, NF Variant=DeConvL2023.06 | 94.9 | — | — | 71.6 | 42 | |
| NeuralFuseBackbone=ResNet50, NF Variant=ConvS2023.06 | 94.8 | — | — | 50.5 | 21 | |
| NeuralFuseBackbone=VGG11, NF Variant=ConvL2023.06 | 94.8 | — | — | 85.7 | 50.9 | |
| NeuralFuseBackbone=ResNet50, NF Variant=UNetS2023.06 | 94.7 | — | — | 64.7 | 35.2 | |
| NeuralFuseBackbone=VGG11, NF Variant=UNetS2023.06 | 94.7 | — | — | 73.4 | 38.5 | |
| NeuralFuseBackbone=VGG19, NF Variant=UNetS2023.06 | 94.6 | — | — | 80.6 | 44.1 | |
| NeuralFuseBackbone=ResNet50, NF Variant=UNetL2023.06 | 94.5 | — | — | 80.6 | 51.1 | |
| NeuralFuseBackbone=VGG19, NF Variant=DeConvS2023.06 | 94.5 | — | — | 73.1 | 36.5 | |
| NeuralFuseBackbone=ResNet18, NF Variant=ConvS2023.06 | 94.4 | — | — | 68.6 | 31.7 | |
| NeuralFuseBackbone=VGG16, NF Variant=UNetS2023.06 | 94.3 | — | — | 63.3 | 48.1 | |
| NeuralFuseBackbone=VGG16, NF Variant=ConvS2023.06 | 94.1 | — | — | 39.8 | 24.6 | |
| NeuralFuseBackbone=VGG16, NF Variant=DeConvS2023.06 | 93.8 | — | — | 50.9 | 35.8 | |
| NeuralFuseBackbone=VGG19, NF Variant=ConvS2023.06 | 93.8 | — | — | 69 | 32.4 | |
| NeuralFuseBackbone=ResNet50, NF Variant=DeConvS2023.06 | 93 | — | — | 56.4 | 26.9 | |
| NeuralFuseBackbone=VGG11, NF Variant=DeConvS2023.06 | 92.4 | — | — | 67.5 | 32.6 | |
| NeuralFuseBackbone=VGG11, NF Variant=UNetL2023.06 | 92.2 | — | — | 83.2 | 48.3 | |
| NeuralFuseBackbone=VGG11, NF Variant=ConvS2023.06 | 91.1 | — | — | 62.2 | 27.3 | |
| ResNet18Backbone=ResNet18, NeuralFuse=None2023.06 | — | 95.5 | 36.9 | — | — | |
| ResNet50Backbone=ResNet50, NeuralFuse=None2023.06 | — | 95 | 29.5 | — | — | |
| VGG11Backbone=VGG11, NeuralFuse=None2023.06 | — | 91.9 | 34.9 | — | — | |
| VGG16Backbone=VGG16, NeuralFuse=None2023.06 | — | 95.2 | 15.1 | — | — | |
| VGG19Backbone=VGG19, NeuralFuse=None2023.06 | — | 95.5 | 36.6 | — | — |