Daniel Haase, Manuel Amthor. Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets. In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020. pages 14588-14597, IEEE, 2020. [doi]
@inproceedings{HaaseA20,
title = {Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets},
author = {Daniel Haase and Manuel Amthor},
year = {2020},
doi = {10.1109/CVPR42600.2020.01461},
url = {https://doi.org/10.1109/CVPR42600.2020.01461},
researchr = {https://researchr.org/publication/HaaseA20},
cites = {0},
citedby = {0},
pages = {14588-14597},
booktitle = {2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2020, Seattle, WA, USA, June 13-19, 2020},
publisher = {IEEE},
isbn = {978-1-7281-7168-5},
}