Mish: A Self Regularized Non-Monotonic Activation Function

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Benchmark Model Rank Results
image-classification-on-cifar-100ResNet v2-110 (Mish activation)#190Percentage correct: 74.41
image-classification-on-cifar-10ResNet 9 + Mish#191Percentage correct: 94.05
image-classification-on-cifar-10ResNet v2-20 (Mish activation)#218Percentage correct: 92.02
image-classification-on-imagenetCSPResNeXt-50 + Mish#775Top 1 Accuracy: 79.8%

Rank counts only results with a code link.