标签 - Landmark

2019
RetinaFace: Single-stage Dense Face Localisation in the Wild
MobileFAN: Transferring Deep Hidden Representation for Face Alignment
Robust Convolutional Neural Network Cascade for Facial Land- mark Localization Exploiting Training Data Augmentation
Deep Convolutional Network Cascade for Facial Point Detection
Look at Boundary: A Boundary-Aware Face Alignment Algorithm
Lightweight Real-time Makeup Try-on in Mobile Browsers with Tiny CNN Models for Facial Tracking
Improving Landmark Localization with Semi-Supervised Learning
Style Aggregated Network for Facial Landmark Detection
Pose-Invariant 3D Face Alignment
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression
Semantic Alignment: Finding Semantically Consistent Ground-truth for Facial Landmark Detection
Wing Loss for Robust Facial Landmark Localisation with Convolutional Neural Networks
PFLD: A Practical Facial Landmark Detector
Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model
2018
Bottom-up Pose Estimation of Multiple Person with Bounding Box Constraint
MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network
Two-Stream Transformer Networks for Video-based Face Alignment
Unconstrained Face Alignment without Face Detection
Associative Embedding: End-to-End Learning for Joint Detection and Grouping
RMPE: Regional Multi-Person Pose Estimation