Aug 17, 2022 · The SO(3)-invariant features facilitate to learn more distinctive representations for segmenting objects with similar appearance from RGB ...
Mar 20, 2023 · The SO(3)-invariant features facilitate to learn more distinctive representations for segmenting objects with similar appearance from RGB ...
Aug 17, 2022 · The SO(3)-invariant features facilitate to learn more distinctive representations for seg- menting objects with similar appearance from RGB ...
Mar 20, 2023 · The SO(3)-invariant features facilitate to learn more distinctive representations for segmenting objects with similar appearance from RGB ...
Unlike most of existing pose estimation methods, this SO(3)‐Pose not only implements the information communication between the RGB and depth channels, ...
6D pose estimation of rigid objects from RGB‐D images is crucial for object grasping and manipulation in robotics. Although RGB channels and the depth (D) ...
SO(3)-Equivariance Learning for 6D Object Pose Estimation
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The SO(3)-equivariant features communicate with RGB features to deduce the (missed) geometry for detecting keypoints of an object with the reflective surface ...
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Sep 7, 2024 · The SO(3)-invariant features facilitate to learn more distinctive representations for segmenting objects with similar appearance from RGB ...
Code for "SO(3)-Pose: SO(3)-Equivariance Learning for 6D Object Pose Estimation" - phaoran9999/SO3-Pose.
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