Tien-Ju Yang, Yi-Lun Liao, Vivienne Sze. NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021. pages 2402-2411, Computer Vision Foundation / IEEE, 2021. [doi]
@inproceedings{YangLS21-4,
title = {NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization},
author = {Tien-Ju Yang and Yi-Lun Liao and Vivienne Sze},
year = {2021},
url = {https://openaccess.thecvf.com/content/CVPR2021/html/Yang_NetAdaptV2_Efficient_Neural_Architecture_Search_With_Fast_Super-Network_Training_and_CVPR_2021_paper.html},
researchr = {https://researchr.org/publication/YangLS21-4},
cites = {0},
citedby = {0},
pages = {2402-2411},
booktitle = {IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021},
publisher = {Computer Vision Foundation / IEEE},
}