Multi-Path Learning for Object Pose Estimation Across Domains
Multi-Path Learning for Object Pose Estimation Across Domains
We introduce a scalable approach for object pose estimation trained on simulated RGB views of multiple 3D models together. We learn an encoding of object views that does not only describe an implicit orientation of all objects seen during training, but can also relate views of untrained objects. Our single-encoder-multi-decoder …