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ResearchFormerly WizWand

Image Classification on ImageNet-10 0.5% BER (test)

94Accuracy (NF)NeuralFuse
85.88887.99490.192.206Jun 29, 2023
Updated 8mo ago

Evaluation results

MethodLinks
NeuralFuseBase Model=ResNet18, NF Architecture=ConvL2023.0694——8815.7
NeuralFuseBase Model=ResNet18, NF Architecture=DeConvL2023.0694——89.216.9
NeuralFuseBase Model=ResNet18, NF Architecture=UNetL2023.0694——88.115.8
NeuralFuseBase Model=ResNet18, NF Architecture=UNetS2023.0693.2——86.414.1
NeuralFuseBase Model=ResNet50, NF Architecture=DeConvS2023.0693.2——70.931.5
NeuralFuseBase Model=ResNet50, NF Architecture=DeConvL2023.0693——79.440
NeuralFuseBase Model=ResNet18, NF Architecture=DeConvS2023.0692.8——87.515.2
NeuralFuseBase Model=ResNet50, NF Architecture=UNetS2023.0692.4——73.634.2
NeuralFuseBase Model=VGG11, NF Architecture=UNetL2023.0692.4——8335.2
NeuralFuseBase Model=ResNet50, NF Architecture=ConvL2023.0692.2——8040.6
NeuralFuseBase Model=ResNet50, NF Architecture=UNetL2023.0692.2——80.541.1
NeuralFuseBase Model=VGG11, NF Architecture=ConvL2023.0692——86.138.3
NeuralFuseBase Model=ResNet18, NF Architecture=ConvS2023.0691.8——83.611.3
NeuralFuseBase Model=ResNet50, NF Architecture=ConvS2023.0691.8——6525.6
NeuralFuseBase Model=VGG19, NF Architecture=ConvL2023.0691.4——75.538.3
NeuralFuseBase Model=VGG16, NF Architecture=DeConvL2023.0691.2——77.238.8
NeuralFuseBase Model=VGG11, NF Architecture=DeConvL2023.0691——8638.2
NeuralFuseBase Model=VGG19, NF Architecture=DeConvL2023.0691——75.938.7
NeuralFuseBase Model=VGG16, NF Architecture=ConvL2023.0690.8——77.138.7
NeuralFuseBase Model=VGG16, NF Architecture=UNetL2023.0690.6——81.142.7
NeuralFuseBase Model=VGG16, NF Architecture=ConvS2023.0690.2——60.221.8
NeuralFuseBase Model=VGG16, NF Architecture=DeConvS2023.0690——62.323.9
NeuralFuseBase Model=VGG11, NF Architecture=ConvS2023.0689.4——66.418.6
NeuralFuseBase Model=VGG19, NF Architecture=UNetL2023.0689.4——77.940.7
NeuralFuseBase Model=VGG11, NF Architecture=DeConvS2023.0689——72.524.7
NeuralFuseBase Model=VGG19, NF Architecture=ConvS2023.0688.8——56.519.3
NeuralFuseBase Model=VGG19, NF Architecture=DeConvS2023.0688.8——6426.8
NeuralFuseBase Model=VGG19, NF Architecture=UNetS2023.0687.6——65.928.7
NeuralFuseBase Model=VGG16, NF Architecture=UNetS2023.0686.4——72.333.9
NeuralFuseBase Model=VGG11, NF Architecture=UNetS2023.0686.2——73.525.7
ResNet18Base Model=ResNet18, NeuralFuse=None2023.06—92.272.3——
ResNet50Base Model=ResNet50, NeuralFuse=None2023.06—89.839.4——
VGG11Base Model=VGG11, NeuralFuse=None2023.06—91.647.8——
VGG16Base Model=VGG16, NeuralFuse=None2023.06—94.638.4——
VGG19Base Model=VGG19, NeuralFuse=None2023.06—92.437.2——