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1,971 claims from 1,218 papers are on the record. 47 have been checked so far; the other 1,924 have no check with a result yet.

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Status: Unchecked ×Keyword: NASNet ×Clear all

1 claim from 1 paper

1. Computer Science › Advanced Neural Network Applications

   Learning Transferable Architectures for Scalable Image Recognition

   Zoph, Vasudevan, Shlens and Le · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2018

   The authors search for a convolutional cell on a small dataset (CIFAR-10), then stack it into NASNet models for ImageNet, reporting state-of-the-art accuracy and lower computational cost.

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   1. UncheckedNASNet reaches 82.7% top-1 and 96.2% top-5 accuracy on ImageNet, which the authors describe as state-of-the-art among published works.“On ImageNet, NASNet achieves, among the published works, state-of-the-art accuracy of 82.7% top-1 and 96.2% top-5 on ImageNet.”