ASMNet: a Lightweight Deep Neural Network for Face Alignment and Pose Estimation

This article explains the ASMNet, a lightweight Convolutional Neural Network (CNN) for facial landmark points detection (a.k.a Face Alignment) and face pose estimation in the wild. The code and the pre-trained models are available on Github here. You can also read the original paper here. Facial Landmark Points Detection is an essential task in many facial image analyses and applications. It is crucial for facial image alignment, face recognition, pose estimation, and facial expression recognition.