Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks.
文献类型：期刊论文
| 作者 | Zhang, Kaipeng; Zhang, Zhanpeng; Li, Zhifeng; Qiao, Yu |
| 刊名 | IEEE SIGNAL PROCESSING LETTERS
 |
| 出版日期 | 2016 |
| 英文摘要 | Face detection and alignment in unconstrained environment are challenging due to various poses, illuminations, and occlusions. Recent studies show that deep learning approaches can achieve impressive performance on these two tasks. In this letter, we propose a deep cascaded multitask framework that exploits the inherent correlation between detection and alignment to boost up their performance. In particular, our framework leverages a cascadedarchitecture with three stages of carefully designed deep convolutional networks to predict face and landmark location in a coarse-to-fine manner. In addition, we propose a new online hard sample mining strategy that further improves the performance in practice. Our method achieves superior accuracy over the state-of-the-art techniques on the challenging face detection dataset and benchmark and WIDER FACE benchmarks for face detection, and annotated facial landmarks in the wild benchmark for face alignment, while keeps real-time performance. |
| 收录类别 | SCI |
| 原文出处 | https://arxiv.org/abs/1604.02878 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/9803]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | IEEE SIGNAL PROCESSING LETTERS |
| 推荐引用方式 GB/T 7714 | Zhang, Kaipeng,Zhang, Zhanpeng,Li, Zhifeng,et al. Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks.[J]. IEEE SIGNAL PROCESSING LETTERS,2016. |
| APA | Zhang, Kaipeng,Zhang, Zhanpeng,Li, Zhifeng,&Qiao, Yu.(2016).Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks..IEEE SIGNAL PROCESSING LETTERS. |
| MLA | Zhang, Kaipeng,et al."Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks.".IEEE SIGNAL PROCESSING LETTERS (2016). |
入库方式： OAI收割
来源：深圳先进技术研究院
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