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Deep learning-based object pose estimation: A comprehensive survey
J Liu, W Sun, H Yang, Z Zeng, C Liu, J Zheng… - ar** and
manipulation applications to endow robots with the ability to grasp objects with different …
manipulation applications to endow robots with the ability to grasp objects with different …
Fsd: Fast self-supervised single rgb-d to categorical 3d objects
In this work, we address the challenging task of 3D object recognition without the reliance on
real-world 3D labeled data. Our goal is to predict the 3D shape, size, and 6D pose of objects …
real-world 3D labeled data. Our goal is to predict the 3D shape, size, and 6D pose of objects …
Stereopose: Category-level 6d transparent object pose estimation from stereo images via back-view nocs
Most existing methods for category-level pose estimation rely on object point clouds.
However, when considering transparent objects, depth cameras are usually not able to …
However, when considering transparent objects, depth cameras are usually not able to …