Pose-guided Auto-Encoder and Feature-Based Refinement for 6-DoF Object Pose Regression
Zhigang Li,Xiangyang Ji,Zhigang Li,Xiangyang Ji
Accurately estimating the 6-DoF object pose from a single RGB image is a challenging task in computer vision. Though pose regression approaches have achieved great progress, the performance is still limited. In this work, we propose Pose-guided Auto-Encoder (PAE), which can distill better pose-related features from the image by utilizing a suitable pose representation, 3D Location Field (3DLF), to...
