Image Classification on CIFAR-100 0.35% BER (test)
73.7Clean AccuracyResNet18
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| ResNet18Base Model=ResNet182023.06 | 73.7 | 31.4 | — | |
| ResNet50Base Model=ResNet502023.06 | 73.5 | 35.7 | — | |
| NeuralFuseBase Model=ResNet50, Generator=ConvS2023.06 | 73 | 37.4 | 1.7 | |
| NeuralFuseBase Model=ResNet50, Generator=DeConvS2023.06 | 72.8 | 38.9 | 3.3 | |
| NeuralFuseBase Model=ResNet50, Generator=UNetS2023.06 | 72.6 | 39.6 | 3.9 | |
| NeuralFuseBase Model=ResNet18, Generator=ConvS2023.06 | 72.1 | 35.1 | 3.7 | |
| NeuralFuseBase Model=ResNet50, Generator=ConvL2023.06 | 72 | 40.8 | 5.1 | |
| NeuralFuseBase Model=ResNet50, Generator=DeConvL2023.06 | 71.7 | 41.7 | 6.1 | |
| NeuralFuseBase Model=ResNet18, Generator=DeConvS2023.06 | 71.6 | 35.8 | 4.4 | |
| NeuralFuseBase Model=ResNet18, Generator=UNetS2023.06 | 70.9 | 38.3 | 6.9 | |
| NeuralFuseBase Model=ResNet50, Generator=UNetL2023.06 | 70.8 | 45.3 | 9.6 | |
| NeuralFuseBase Model=ResNet18, Generator=UNetL2023.06 | 70.3 | 46.3 | 14.9 | |
| NeuralFuseBase Model=ResNet18, Generator=ConvL2023.06 | 69.4 | 42.9 | 11.4 | |
| NeuralFuseBase Model=ResNet18, Generator=DeConvL2023.06 | 69.2 | 42.9 | 11.4 | |
| VGG16Base Model=VGG162023.06 | 67.8 | 31.1 | — | |
| VGG19Base Model=VGG192023.06 | 67.8 | 42.1 | — | |
| NeuralFuseBase Model=VGG19, Generator=ConvS2023.06 | 67.7 | 45.3 | 3.2 | |
| NeuralFuseBase Model=VGG19, Generator=DeConvS2023.06 | 67.7 | 45.7 | 3.6 | |
| NeuralFuseBase Model=VGG19, Generator=UNetS2023.06 | 67.5 | 46.6 | 4.5 | |
| NeuralFuseBase Model=VGG19, Generator=UNetL2023.06 | 67.4 | 50 | 7.9 | |
| NeuralFuseBase Model=VGG19, Generator=DeConvL2023.06 | 67.3 | 49.8 | 7.6 | |
| NeuralFuseBase Model=VGG19, Generator=ConvL2023.06 | 66.9 | 49.2 | 7 | |
| NeuralFuseBase Model=VGG16, Generator=ConvS2023.06 | 66 | 36.3 | 5.1 | |
| NeuralFuseBase Model=VGG16, Generator=DeConvL2023.06 | 65 | 46.6 | 15.5 | |
| NeuralFuseBase Model=VGG16, Generator=UNetS2023.06 | 65 | 39.8 | 8.7 | |
| NeuralFuseBase Model=VGG16, Generator=ConvL2023.06 | 64.9 | 44.9 | 13.8 | |
| NeuralFuseBase Model=VGG16, Generator=DeConvS2023.06 | 64.9 | 38.1 | 7 | |
| VGG11Base Model=VGG112023.06 | 64.8 | 31.3 | — | |
| NeuralFuseBase Model=VGG16, Generator=UNetL2023.06 | 64.8 | 46.8 | 15.7 | |
| NeuralFuseBase Model=VGG11, Generator=DeConvL2023.06 | 64 | 42.8 | 11.5 | |
| NeuralFuseBase Model=VGG11, Generator=ConvL2023.06 | 63.9 | 42.4 | 11.1 | |
| NeuralFuseBase Model=VGG11, Generator=ConvS2023.06 | 63.9 | 41.8 | 10.5 | |
| NeuralFuseBase Model=VGG11, Generator=UNetS2023.06 | 63.8 | 35.7 | 4.5 | |
| NeuralFuseBase Model=VGG11, Generator=DeConvS2023.06 | 63.5 | 36.1 | 4.8 | |
| NeuralFuseBase Model=VGG11, Generator=UNetL2023.06 | 63.5 | 40.9 | 9.6 |