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most citedDualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency

6 citations · 8 across the 3 of their papers we have counts for

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cs.CV2023★ 1 cited

VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations

Jiehong Lin, Zewei Wei, Yabin Zhang +1

Rotation estimation of high precision from an RGB-D object observation is a huge challenge in 6D object pose estimation, due to the difficulty of learning in the non-linear space o…