DEEP MULTI-TASK LEARNING FRAMEWORK FOR FACE DETECTION, LANDMARK LOCALIZATION, POSE ESTIMATION, AND GENDER RECOGNITION

摘要

Various image processing may benefit from the application deep convolutional neural networks. For example, a deep multi-task learning framework may assist face detection, for example when combined with landmark localization, pose estimation, and gender recognition. An apparatus can include a first module of at least three modules configured to generate class independent region proposals to provide a region. The apparatus can also include a second module of the at least three modules configured to classify the region as face or non-face using a multi-task analysis. The apparatus can further include a third module configured to perform post- processing on the classified region.