[PDF] EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks | Semantic Scholar
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[PDF] EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks | Semantic Scholar
A new scaling method is proposed that uniformly scales all dimensions of depth/width/resolution using a simple yet highly effective compound coefficient and is demonstrated the effectiveness of this method on scaling up MobileNets and ResNet. Convolutional Neural Networks (ConvNets) are commonly developed at a fixed resource budget, and then ...
May 24, 2019
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