Joint Head Pose Estimation with Multi-task Cascaded Convolutional Networks for Face Alignment
文章发表在ICPR2018上，采用一个多任务级联神经网络的框架来实现实时的人脸检测、人脸配准以及头部姿态估计。MTCNN能够实现实时的人脸检测和人脸配准，尽管它在人脸配准方面的性能超越了许多其他最新的方法，但它仅仅输出了 5 个特征点，当需要输出更加密集的特征点时并不能得到很好的效果。所以，本文利用了人脸配准和头部姿态估计之间的内在联系来增强密集的人脸配准性能。 1.网络结构 四个阶段的网络设计如
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相关文章
- 1. 论文笔记1.3——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 2. 论文笔记1——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 3. 论文笔记1.2——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 4. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks阅读笔记
- 5. 论文Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 6. MTCNN解读：Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 7. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks论文理解
- 8. 论文解读——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks（二）
- 9. 论文解读——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks（一）
- 10. 论文笔记：Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks