Search Results for author:
Found 3 papers, 3 papers with code
Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation
Most self-supervised 6D object pose estimation methods can only work with additional depth information or rely on the accurate annotation of 2D segmentation masks, limiting their application range.
Shape-Constraint Recurrent Flow for 6D Object Pose Estimation
In this work, we propose a shape-constraint recurrent matching framework for 6D object pose estimation.
Rigidity-Aware Detection for 6D Object Pose Estimation
To address this, we propose a rigidity-aware detection method exploiting the fact that, in 6D pose estimation, the target objects are rigid.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
