@inproceedings{cfeb470e98c646b4b2d50d658bf8fa5a,
title = "End-To-end cascade cnn for simultaneously face detection and alignment",
abstract = "Real-world face detection and alignment demand an advanced discriminative model to address challenges by pose, lighting and expression. Recent studies have utilized the relation between face detection and alignment to make models computationally efficiency, but they ignore the connection between each cascade CNNs. In this paper, we combine detection, calibration and alignment in each cascade structure and propose an End-To-End cascade Online Hard Example Mining (OHEM) for training, which expert in accelerating convergence. Experiments on FDDB and AFLW demonstrate considerable improvement on accuracy and speed.",
keywords = "Cascade CNNs, End-To-End, Face detection, Facial key points detection",
author = "Sanyuan Zhao and Hongmei Song and Weilin Cong and Qi Qi and Hui Tian",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 7th International Conference on Virtual Reality and Visualization, ICVRV 2017 ; Conference date: 21-10-2017 Through 22-10-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/ICVRV.2017.00016",
language = "English",
series = "Proceedings - 2017 International Conference on Virtual Reality and Visualization, ICVRV 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "35--40",
booktitle = "Proceedings - 2017 International Conference on Virtual Reality and Visualization, ICVRV 2017",
address = "United States",
}