4个月的实习结束了，本文主要记录自己实习期间对人脸关键点检测的调研结果。

目录结构

1.背景介绍

2.开源数据集







3.评价指标


4.检测方法




5.论文解读

5.1传统方法

5.1.1 Active Shape Models-Their Training and Application


5.2基于级联形状回归

5.2.1 Cascaded pose regression CVPR2010


5.3 基于深度学习

5.3.1 Deep Convolutional Network Cascade for Facial Point Detection CVPR2013



5.3.2 Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade ICCV2013


5.3.3 Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks ECCV2016


5.3.4 Deep Alignment Network: A convolutional neural network for robust face alignment CVPR2017




5.4 前沿方法

5.4.1 Look at Boundary: A Boundary-Aware Face Alignment Algorithm CVPR2018














5.4.2 Style Aggregated Network for Facial Landmark Detection CVPR2018






5.4.3 Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection CVPR2019
















5.4.4 Robust Facial Landmark Detection via Occlusion-adaptive Deep Networks CVPR2019














6.部分论文复现成果展示

公开数据集



真实监控场景