Gated Convolutional Networks with Hybrid Connectivity for Image Classification

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Benchmark Model Rank Results
image-classification-on-cifar-10HCGNet-A3#86Percentage correct: 97.86
image-classification-on-cifar-10HCGNet-A2#93Percentage correct: 97.71
image-classification-on-cifar-10HCGNet-A1#121Percentage correct: 96.85
image-classification-on-cifar-100HCGNet-A3#106Percentage correct: 84.04PARAMS: 11.4M
image-classification-on-cifar-100HCGNet-A2#113Percentage correct: 83.46PARAMS: 3.1M
image-classification-on-cifar-100HCGNet-A1#141Percentage correct: 81.87PARAMS: 1.1M
image-classification-on-imagenetHCGNet-C#737Top 1 Accuracy: 80.5%Number of params: 42.2MGFLOPs: 7.1
image-classification-on-imagenetHCGNet-B#864Top 1 Accuracy: 78.5%Number of params: 12.9MGFLOPs: 2.0

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