Domain-Translated 3D Object Pose Estimation
Domain-Translated 3D Object Pose Estimation is a scholarly work, published in 2020 in ''IEEE Transactions on Image Processing''. The main subjects of the publication include domain, image, pattern recognition, object detection, translation, transfer learning, computer science, pose, pose estimation, deep learning, artificial intelligence, synthetic data, Articulated body pose estimation, object, 3D pose estimation, and computer vision. The authors argue that 3D object pose estimation problem is easier to solve for images originating from the synthetic domain, rather than the real data domain.