Achieving an optimal group structure in a neural architecture search

Abstract The method proposed in this letter searches for an effective group structure of group convolutions in a convolutional neural network that can improve the classification accuracy. The model's group structure is obtained using an effective differential neural architecture search. Our cod...

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Bibliographic Details
Main Authors: W. Seo, J. Park, W. Lim, D. Kim, J. Lee
Format: Article
Language:English
Published: Wiley 2022-09-01
Series:Electronics Letters
Online Access:https://doi.org/10.1049/ell2.12585