ZS6D: Zero-shot 6D Object Pose Estimation using Vision Transformers
Philipp Ausserlechner,David Haberger,Stefan Thalhammer,Jean-Baptiste Weibel,Markus Vincze,Philipp Ausserlechner,David Haberger,Stefan Thalhammer,Jean-Baptiste Weibel,Markus Vincze
As robotic systems increasingly encounter complex and unconstrained real-world scenarios, there is a demand to recognize diverse objects. The state-of-the-art 6D object pose estimation methods rely on object-specific training and therefore do not generalize to unseen objects. Recent novel object pose estimation methods are solving this issue using task-specific fine-tuned CNNs for deep template ma...
