人脸关键点：MTCNN-Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
创新点： 1. 首次将级联和多任务结合起来，之前有单纯级联的DCNN，单纯多任务的TCDCN 2. 提出 a new online hard sample mining strategy，没接触过hard sample mining ，知道的同学介绍介绍呗~ 2016年，Zhang等人提出一种多任务级联卷积神经网络（MTCNN, Multi-task Cascaded Convolutional
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相关文章
- 1. 论文解读——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks（一）
- 2. 论文笔记1——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 3. 论文笔记1.3——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 4. 论文笔记：Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 5. MTCNN解读：Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 6. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks阅读笔记
- 7. 论文笔记1.2——Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 8. Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks论文理解
- 9. 人脸检测对齐--Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
- 10. 论文Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks