Image Classification on ImageNet-10 0.5% BER (test)
94Accuracy (NF)NeuralFuse
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| NeuralFuseBase Model=ResNet18, NF Architecture=ConvL2023.06 | 94 | — | — | 88 | 15.7 | |
| NeuralFuseBase Model=ResNet18, NF Architecture=DeConvL2023.06 | 94 | — | — | 89.2 | 16.9 | |
| NeuralFuseBase Model=ResNet18, NF Architecture=UNetL2023.06 | 94 | — | — | 88.1 | 15.8 | |
| NeuralFuseBase Model=ResNet18, NF Architecture=UNetS2023.06 | 93.2 | — | — | 86.4 | 14.1 | |
| NeuralFuseBase Model=ResNet50, NF Architecture=DeConvS2023.06 | 93.2 | — | — | 70.9 | 31.5 | |
| NeuralFuseBase Model=ResNet50, NF Architecture=DeConvL2023.06 | 93 | — | — | 79.4 | 40 | |
| NeuralFuseBase Model=ResNet18, NF Architecture=DeConvS2023.06 | 92.8 | — | — | 87.5 | 15.2 | |
| NeuralFuseBase Model=ResNet50, NF Architecture=UNetS2023.06 | 92.4 | — | — | 73.6 | 34.2 | |
| NeuralFuseBase Model=VGG11, NF Architecture=UNetL2023.06 | 92.4 | — | — | 83 | 35.2 | |
| NeuralFuseBase Model=ResNet50, NF Architecture=ConvL2023.06 | 92.2 | — | — | 80 | 40.6 | |
| NeuralFuseBase Model=ResNet50, NF Architecture=UNetL2023.06 | 92.2 | — | — | 80.5 | 41.1 | |
| NeuralFuseBase Model=VGG11, NF Architecture=ConvL2023.06 | 92 | — | — | 86.1 | 38.3 | |
| NeuralFuseBase Model=ResNet18, NF Architecture=ConvS2023.06 | 91.8 | — | — | 83.6 | 11.3 | |
| NeuralFuseBase Model=ResNet50, NF Architecture=ConvS2023.06 | 91.8 | — | — | 65 | 25.6 | |
| NeuralFuseBase Model=VGG19, NF Architecture=ConvL2023.06 | 91.4 | — | — | 75.5 | 38.3 | |
| NeuralFuseBase Model=VGG16, NF Architecture=DeConvL2023.06 | 91.2 | — | — | 77.2 | 38.8 | |
| NeuralFuseBase Model=VGG11, NF Architecture=DeConvL2023.06 | 91 | — | — | 86 | 38.2 | |
| NeuralFuseBase Model=VGG19, NF Architecture=DeConvL2023.06 | 91 | — | — | 75.9 | 38.7 | |
| NeuralFuseBase Model=VGG16, NF Architecture=ConvL2023.06 | 90.8 | — | — | 77.1 | 38.7 | |
| NeuralFuseBase Model=VGG16, NF Architecture=UNetL2023.06 | 90.6 | — | — | 81.1 | 42.7 | |
| NeuralFuseBase Model=VGG16, NF Architecture=ConvS2023.06 | 90.2 | — | — | 60.2 | 21.8 | |
| NeuralFuseBase Model=VGG16, NF Architecture=DeConvS2023.06 | 90 | — | — | 62.3 | 23.9 | |
| NeuralFuseBase Model=VGG11, NF Architecture=ConvS2023.06 | 89.4 | — | — | 66.4 | 18.6 | |
| NeuralFuseBase Model=VGG19, NF Architecture=UNetL2023.06 | 89.4 | — | — | 77.9 | 40.7 | |
| NeuralFuseBase Model=VGG11, NF Architecture=DeConvS2023.06 | 89 | — | — | 72.5 | 24.7 | |
| NeuralFuseBase Model=VGG19, NF Architecture=ConvS2023.06 | 88.8 | — | — | 56.5 | 19.3 | |
| NeuralFuseBase Model=VGG19, NF Architecture=DeConvS2023.06 | 88.8 | — | — | 64 | 26.8 | |
| NeuralFuseBase Model=VGG19, NF Architecture=UNetS2023.06 | 87.6 | — | — | 65.9 | 28.7 | |
| NeuralFuseBase Model=VGG16, NF Architecture=UNetS2023.06 | 86.4 | — | — | 72.3 | 33.9 | |
| NeuralFuseBase Model=VGG11, NF Architecture=UNetS2023.06 | 86.2 | — | — | 73.5 | 25.7 | |
| ResNet18Base Model=ResNet18, NeuralFuse=None2023.06 | — | 92.2 | 72.3 | — | — | |
| ResNet50Base Model=ResNet50, NeuralFuse=None2023.06 | — | 89.8 | 39.4 | — | — | |
| VGG11Base Model=VGG11, NeuralFuse=None2023.06 | — | 91.6 | 47.8 | — | — | |
| VGG16Base Model=VGG16, NeuralFuse=None2023.06 | — | 94.6 | 38.4 | — | — | |
| VGG19Base Model=VGG19, NeuralFuse=None2023.06 | — | 92.4 | 37.2 | — | — |