[1] Masi I, Rawls S, Medioni G et al. Pose-aware face recognition in the wild. [C]//2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 4838-4846(2016).

[2] Zhuang N, Yan Y, Chen S et al. Multi-label learning based deep transfer neural network for facial attribute classification[J]. Pattern Recognition, 80, 225-240(2018). http://www.sciencedirect.com/science/article/pii/S0031320318301080

[4] Kowalski M, Naruniec J, Trzcinski T. Deep alignment network: a convolutional neural network for robust face alignment. [C]//2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), July 21-26, 2017, Honolulu, HI, USA. New York: IEEE, 2034-2043(2017).

[5] Kumar A, Chellappa R. Disentangling 3D pose in a dendritic CNN for unconstrained 2D face alignment. [C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE, 430-439(2018).

[6] Wu Y, Ji Q. Facial landmark detection: a literature survey[J]. International Journal of Computer Vision, 127, 115-142(2019).

[7] Dong X Y, Yu S I, Weng X S et al. Supervision-by-registration: an unsupervised approach to improve the precision of facial landmark detectors. [C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE, 360-368(2018).

[8] Newell A, Yang K Y, Deng J. Stacked hourglass networks for human pose estimation[M]. //Leibe B, Matas J, Sebe N, et al. Computer Vision-ECCV 2016. Lecture Notes in Computer Science. Cham: Springer, 9912, 483-499(2016).

[9] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition. [C]//2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 770-778(2016).

[10] Zhang T, Qi G J, Xiao B et al. Interleaved group convolutions. [C]//2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice, Italy. New York: IEEE, 4383-4392(2017).

[12] Zagoruyko S, Komodakis N[2019-12-25]. Paying more attention to attention: improving the performance of convolutional neural networks via attention transfer [2019-12-25].https://arxiv., org/abs/1612, 03928.

[13] Liu Y F, Chen K, Liu C et al. Structured knowledge distillation for semantic segmentation. [C]//2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15-20, 2019, Long Beach, CA, USA. New York: IEEE, 2599-2608(2019).

[14] Xiao B, Wu H P, Wei Y C. Simple baselines for human pose estimation and tracking[M]. //Ferrari V, Hebert M, Sminchisescu C, et al. Computer Vision-ECCV 2018. Lecture Notes in Computer Science. Cham: Springer, 11210, 472-487(2018).

[15] Sagonas C, Tzimiropoulos G, Zafeiriou S et al. 300 faces in-the-wild challenge: the first facial landmark localization challenge. [C]//2013 IEEE International Conference on Computer Vision Workshops, December 2-8, 2013, Sydney, NSW, Australia. New York: IEEE, 397-403(2013).

[16] Burgos-Artizzu X P, Perona P, Dollár P. Robust face landmark estimation under occlusion. [C]//2013 IEEE International Conference on Computer Vision, December 1-8, 2013, Sydney, NSW, Australia. New York: IEEE, 1513-1520(2013).

[17] Miao X, Zhen X T, Liu X L et al. Direct shape regression networks for end-to-end face alignment. [C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE, 5040-5049(2018).

[18] Wu W Y, Yang S. Leveraging intra and inter-dataset variations for robust face alignment[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), July 21-26, 2017, Honolulu, HI, USA., 2096-2105(2017).

[19] Dong X Y, Yan Y, Ouyang W L et al. Style aggregated network for facial landmark detection. [C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE, 379-388(2018).

[20] Wu W Y, Qian C, Yang S et al. Look at boundary: a boundary-aware face alignment algorithm. [C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA. New York: IEEE, 2129-2138(2018).

[21] Zhu S, Li C, Loy C C et al. Face alignment by coarse-to-fine shape searching. [C]//2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 4998-5006(2015).

[22] Liu X, Wang H B, Cheng R et al. Multi-attention network for 2D face alignment in the wild[M]. //Wang Y, Huang Q, Peng Y, et al. Image and Graphics Technologies and Applications. IGTA 2019. Communications in Computer and Information Science. Singapore: Springer, 1043, 246-255(2019).