Polynomial stacked-attention network for nationality classification
Kunyan LI, Jie ZHANG, Shiguang SHAN
Polynomial stacked-attention network for nationality classification
[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
|
/
〈 | 〉 |