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Keyword: EfficientNet ×Clear all

1 claim from 1 paper

1. Computer Science › Advanced Neural Network Applications

   EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

   Tan and Le · arXiv (Cornell University) · 2019

   The paper studies how to scale convolutional networks by balancing depth, width and resolution, and uses this to build EfficientNets that report better accuracy and efficiency than earlier ConvNets.

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   1. UncheckedThe paper's EfficientNet-B7 reaches 84.3% top-1 accuracy on ImageNet, being 8.4x smaller and 6.1x faster at inference than the best existing ConvNet.“In particular, our EfficientNet-B7 achieves state-of-the-art 84.3% top-1 accuracy on ImageNet, while being 8.4x smaller and 6.1x faster on inference than the best existing ConvNet.”