Approaching human level facial landmark localization by deep learning

In this paper we present our solution to the 300 Faces in the Wild Facial Landmark Localization Challenge. We demonstrate how to achieve very competitive localization performance with a simple deep learning based system. Human study is conducted to show that the accuracy of our system has been very close to human performance. We discuss how this finding would affect our future direction to improve our system. We show how to achieve state-of-the-art facial landmark localization by CNN.The system's performance is improved by deeper network.We show our system's performance is close to human.