Polynomial stacked-attention network for nationality classification

Kunyan LI, Jie ZHANG, Shiguang SHAN

PDF(1474 KB)
PDF(1474 KB)
Front. Comput. Sci. ›› 2022, Vol. 16 ›› Issue (4) : 164319. DOI: 10.1007/s11704-021-0455-0
Artificial Intelligence
LETTER

Polynomial stacked-attention network for nationality classification

Author information +
History +

Graphical abstract

Cite this article

Download citation ▾
Kunyan LI, Jie ZHANG, Shiguang SHAN. Polynomial stacked-attention network for nationality classification. Front. Comput. Sci., 2022, 16(4): 164319 https://doi.org/10.1007/s11704-021-0455-0

References

[1]
Coop G , Pickrell J K , Novembre J . The role of geography in human adaptation. PLoS Genetics, 2009, 5( 6): e1000500–
[2]
Wang Y, Feng Y, Liao H, Luo J, Xu X. Do they all look the same? deciphering chinese, japanese and koreans by fine-grained deep learning. In: Proceedings of IEEE Conference on Multimedia Information Processing and Retrieval. 2018, 39– 44
[3]
He K, Zhang X, Ren S, Sun J. Deep residual learning for image recognition. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. 2016, 770– 778
[4]
Deng J, Dong W, Socher R, Li L-J, Li K, Li F-F. Imagenet: A large-scale hierarchical image database. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. 2009, 248– 255
[5]
Wang F, Jiang M, Qian C, Yang S, Li C, Zhang H, Wang X, Tang X. Residual attention network for image classification. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. 2017, 3156−3164
[6]
Shi X, Shan S, Kan M, Wu S, Chen X. Real-time rotation-invariant face detection with progressive calibration networks. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. 2018, 2295−2303
[7]
He Z, Kan M, Zhang J, Chen X, Shan S. A fully end-to-end cascaded cnn for facial landmark detection. In: Proceedings of IEEE International Conference on Automatic Face & Gesture Recognition. 2017, 200– 207

Acknowledgements

This work was partially supported by the National Natural Science Foundation of China (Grant Nos. 61806188, 61976219) and Shanghai Municipal Science and Technology Major Project (2017SHZDZX01).

RIGHTS & PERMISSIONS

2022 Higher Education Press
AI Summary AI Mindmap
PDF(1474 KB)

Accesses

Citations

Detail

Sections
Recommended

/