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Image Classification on CIFAR-100+ (test)

17.18Error RateDenseNet-BC
16.518820.981925.44529.9081Aug 25, 2016

Evaluation results

MethodLinks
DenseNet-BCGrowth Rate (k)=40, Depth=190, Params=25.6M2016.0817.18
DenseNet-BCGrowth Rate (k)=24, Depth=250, Params=15.3M2016.0817.6
DenseNetGrowth Rate (k)=24, Depth=100, Params=27.2M2016.0819.25
DenseNetGrowth Rate (k)=12, Depth=100, Params=7.0M2016.0820.2
Wide ResNetDepth=28, Params=36.5M2016.0820.5
Wide ResNetDepth=16, Params=11.0M2016.0822.07
DenseNet-BCGrowth Rate (k)=12, Depth=100, Params=0.8M2016.0822.27
ResNet (pre-activation)Depth=1001, Params=10.2M2016.0822.71
FractalNetDepth=21, Params=38.6M2016.0823.3
FractalNet with Dropout/Drop-pathDepth=21, Params=38.6M2016.0823.73
ResNet (pre-activation)Depth=164, Params=1.7M2016.0824.33
DenseNetGrowth Rate (k)=12, Depth=40, Params=1.0M2016.0824.42
ResNet with Stochastic DepthDepth=110, Params=1.7M2016.0824.58
ResNet (reported by [13])Depth=110, Params=1.7M2016.0827.22
Highway NetworkDepth=-, Params=-2016.0832.39
All-CNNDepth=-, Params=-2016.0833.71