• DOI:10.1109/CVPR.2019.00941
Corpus ID: 53805525

ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network

@article{Mehta2019ESPNetv2AL,
  title={ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network},
  author={Sachin Mehta and M. Rastegari and L. Shapiro and Hannaneh Hajishirzi},
  journal={2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2019},
  pages={9182-9192}
}

Sachin Mehta, M. Rastegari, +1 author Hannaneh Hajishirzi

Published 2019

Computer Science

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

We introduce a light-weight, power efficient, and general purpose convolutional neural network, ESPNetv2, for modeling visual and sequential data. [...] Key Result Our experiments show that ESPNetv2 is much more power efficient than existing state-of-the-art efficient methods including ShuffleNets and MobileNets. Our code is open-source and available at https://github.com/sacmehta/ESPNetv2.Expand Abstract

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