Deep Convolutional Network Cascade for Facial Point Detection
CVPR2013的一篇文献,利用CNN做人脸特征点定位. 为了进一步加深对mxnet的理解,准备做轮子. 上图是完整的架构图,包括Level 1, level 2, level 3 三级网络组成, 逐渐提高定位精度. Level 1 这一级由三个子网络组成,其中 * F1: 输入整个人脸区域,输出lefteye,righteye,nose,leftmouth,rightmouth共5个特征点坐标(
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相关文章
- 1. 《Deep Convolutional Network Cascade for Facial Point Detection》复现
- 2. Deep Convolutional Network Cascade for Facial Point Detection（DCNN）
- 3. Deep Convolutional Network Cascade for Facial Point Detection阅读笔记
- 4. Deep Convolutional Network Cascade for Facial Point Detection论文算法解析
- 5. 【翻译】Convolutional Experts Network for Facial Landmark Detection
- 6. 《A Convolutional Neural Network Cascade for Face Detection》
- 7. 3d fully convolutional network for vehicle detection in point cloud
- 8. 初次接触，对论文Deep Convolutional Network Cascade for Facial Point的几点想法（更新）
- 9. 级联人脸检测--A Convolutional Neural Network Cascade for Face Detection
- 10. CVPR：Weakly-supervised Deep Convolutional Neural Network Learning for Facial Action Intensity Estima