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Found 4 papers, 3 papers with code
A Multi-body Tracking Framework -- From Rigid Objects to Kinematic Structures
Our approach focuses on methods that employ Newton-like optimization techniques, which are widely used in object tracking.
Ranked #1 on
3D Object Tracking
on RTB
Unknown Object Segmentation from Stereo Images
This has the major advantage that instead of a noisy, and potentially incomplete depth map as an input, on which the segmentation is computed, we use the original image pair to infer the object instances and a dense depth map.
"What's This?" -- Learning to Segment Unknown Objects from Manipulation Sequences
Furthermore, while the motion of the manipulator and the object are substantial cues for our algorithm, we present means to robustly deal with distraction objects moving in the background, as well as with completely static scenes.
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions
Accurate object segmentation is a crucial task in the context of robotic manipulation.
