CVPR 2022 Open Access Repository

Neural Architecture Search: Lightweight NAS Challenge

SpiderNet: Hybrid Differentiable-Evolutionary Architecture Search via Train-Free Metrics: Rob Geada,

Andrew Stephen McGough; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Geada_2022_CVPR, author = {Geada, Rob and McGough, Andrew Stephen}, title = {SpiderNet: Hybrid Differentiable-Evolutionary Architecture Search via Train-Free Metrics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1962-1970} }
DNAS:A Decoupled Global Neural Architecture Search Method: Kepeng Xu,

Gang He; [pdf]
[bibtex]
@InProceedings{Xu_2022_CVPR, author = {Xu, Kepeng and He, Gang}, title = {DNAS:A Decoupled Global Neural Architecture Search Method}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1979-1985} }
Less Is More: Proxy Datasets in NAS Approaches: Brian Moser,

Federico Raue,

Jörn Hees,

Andreas Dengel; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Moser_2022_CVPR, author = {Moser, Brian and Raue, Federico and Hees, J\"orn and Dengel, Andreas}, title = {Less Is More: Proxy Datasets in NAS Approaches}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1953-1961} }
Hot-Started NAS for Task-Specific Embedded Applications: Lotte Hendrickx,

Wiebe Van Ranst,

Toon Goedemé; [pdf]
[bibtex]
@InProceedings{Hendrickx_2022_CVPR, author = {Hendrickx, Lotte and Van Ranst, Wiebe and Goedem\'e, Toon}, title = {Hot-Started NAS for Task-Specific Embedded Applications}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1971-1978} }
Network Amplification With Efficient MACs Allocation: Chuanjian Liu,

Kai Han,

An Xiao,

Ying Nie,

Wei Zhang,

Yunhe Wang; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2022_CVPR, author = {Liu, Chuanjian and Han, Kai and Xiao, An and Nie, Ying and Zhang, Wei and Wang, Yunhe}, title = {Network Amplification With Efficient MACs Allocation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1933-1942} }
Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks: Wenshuo Li,

Xinghao Chen,

Jinyu Bai,

Xuefei Ning,

Yunhe Wang; [pdf]
[bibtex]
@InProceedings{Li_2022_CVPR, author = {Li, Wenshuo and Chen, Xinghao and Bai, Jinyu and Ning, Xuefei and Wang, Yunhe}, title = {Searching for Energy-Efficient Hybrid Adder-Convolution Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2022}, pages = {1943-1952} }