Face Attention Network: An Effective Face Detector for the Occluded Faces
Wang, Jianfeng; Yuan, Ye; Yu, Gang;
Subject: Computer Science - Computer Vision and Pattern Recognition
The performance of face detection has been largely improved with the development of convolutional neural network. However, the occlusion issue due to mask and sunglasses, is still a challenging problem. The improvement on the recall of these occluded cases usually bring... View more
 D. Chen, G. Hua, F. Wen, and J. Sun. Supervised transformer network for efficient face detection. In European Conference on Computer Vision, pages 122-138. Springer, 2016.
 Y. Chen, L. Song, and R. He. Masquer hunter: Adversarial occlusion-aware face detection. arXiv preprint arXiv:1709.05188, 2017.
 N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, volume 1, pages 886-893. IEEE, 2005.
 P. Dollar, R. Appel, S. J. Belongie, and P. Perona. Fast feature pyramids for object detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(8):1532- 1545, 2014.
 P. Felzenszwalb, D. McAllester, and D. Ramanan. A discriminatively trained, multiscale, deformable part model. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 1-8, 2008.
 S. Ge, J. Li, Q. Ye, and Z. Luo. Detecting masked faces in the wild with lle-cnns. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2682-2690, 2017.
 R. Girshick. Fast r-cnn. In Proceedings of the IEEE international conference on computer vision, pages 1440-1448, 2015.
 Z. Hao, Y. Liu, H. Qin, J. Yan, X. Li, and X. Hu. Scale-aware face detection. arXiv preprint arXiv:1706.09876, 2017.
 K. He, X. Zhang, S. Ren, and J. Sun. Deep residual learning for image recognition. arXiv preprint arXiv:1512.03385, 2015.
 P. Hu and D. Ramanan. Finding tiny faces. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017.