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Polynomial stacked-attention network for nationality classification

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References

  1. Coop G, Pickrell J K, Novembre J, et al. The role of geography in human adaptation. PLoS Genetics, 2009, 5(6): e1000500

    Article  Google Scholar 

  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

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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 (2017SHZD ZX01).

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Correspondence to Jie Zhang.

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Li, K., Zhang, J. & Shan, S. Polynomial stacked-attention network for nationality classification. Front. Comput. Sci. 16, 164319 (2022). https://doi.org/10.1007/s11704-021-0455-0

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