DSPC-Net: A Dual-Branch Self-Correcting Pose Consistency Network for Head Pose Estimation
Existing head pose estimation (HPE) methods focus on utilizing the information of one single image and ignore cross-viewpoint pose consistency. To remedy this, we propose a dual-branch self-correcting pose consistency network (DSPC-Net) for HPE. The idea is to construct flipped image pairs as intrinsic pose constraints...